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HOTA: A Higher Order Metric for Evaluating Multi-object Tracking

https://doi.org/10.1007/s11263-020-01375-2

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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The AMI Meeting Corpus: A Pre-announcement

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Computers in the Human Interaction Loop

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Online Multi-Object Tracking with Dual Matching Attention Networks

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Multi-object Tracking with Neural Gating Using Bilinear LSTM

inferredcites →https://doi.org/10.1007/978-3-030-58558-7_26openalex-snapshot

TAO: A Large-Scale Benchmark for Tracking Any Object

inferredcites →https://doi.org/10.1007/978-3-319-10602-1_48openalex-snapshot

Microsoft COCO: Common Objects in Context

inferredcites →https://doi.org/10.1007/978-3-319-48881-3_2openalex-snapshot

Performance Measures and a Data Set for Multi-target, Multi-camera Tracking

inferredcites →https://doi.org/10.1007/978-3-319-48881-3_7openalex-snapshot

Online Multi-target Tracking with Strong and Weak Detections

inferredcites →https://doi.org/10.1007/978-3-540-69568-4_1openalex-snapshot

The CLEAR 2006 Evaluation

inferredcites →https://doi.org/10.1007/s11263-009-0275-4openalex-snapshot

The Pascal Visual Object Classes (VOC) Challenge

inferredcites →https://doi.org/10.1007/s11263-015-0816-yopenalex-snapshot

ImageNet Large Scale Visual Recognition Challenge

inferredcites →https://doi.org/10.1007/s13160-012-0089-6openalex-snapshot

Metrics based on average distance between sets

inferredcites →https://doi.org/10.1016/j.cviu.2020.102907openalex-snapshot

UA-DETRAC: A new benchmark and protocol for multi-object detection and tracking

inferredcites →https://doi.org/10.1016/j.jvcir.2019.01.026openalex-snapshot

Development of a N-type GM-PHD filter for multiple target, multiple type visual tracking

inferredcites →https://doi.org/10.1016/j.neucom.2019.08.008openalex-snapshot

A dual CNN–RNN for multiple people tracking

inferredcites →https://doi.org/10.1109/access.2018.2879535openalex-snapshot

Learning Discriminative Appearance Models for Online Multi-Object Tracking With Appearance Discriminability Measures

inferredcites →https://doi.org/10.1109/access.2018.2889442openalex-snapshot

Multiple Object Tracking via Feature Pyramid Siamese Networks

inferredcites →https://doi.org/10.1109/access.2019.2921975openalex-snapshot

Real-Time Online Multi-Object Tracking in Compressed Domain

inferredcites →https://doi.org/10.1109/access.2019.2932301openalex-snapshot

Multiple Object Tracking With Attention to Appearance, Structure, Motion and Size

inferredcites →https://doi.org/10.1109/access.2019.2953276openalex-snapshot

Online Multi-Object Tracking With GMPHD Filter and Occlusion Group Management

inferredcites →https://doi.org/10.1109/access.2020.2975912openalex-snapshot

OneShotDA: Online Multi-Object Tracker With One-Shot-Learning-Based Data Association

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ETISEO, performance evaluation for video surveillance systems

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PETS2010 and PETS2009 Evaluation of Results Using Individual Ground Truthed Single Views

inferredcites →https://doi.org/10.1109/avss.2012.59openalex-snapshot

Real-Time Multi-human Tracking Using a Probability Hypothesis Density Filter and Multiple Detectors

inferredcites →https://doi.org/10.1109/avss.2017.8078516openalex-snapshot

High-Speed tracking-by-detection without using image information

inferredcites →https://doi.org/10.1109/avss.2017.8078517openalex-snapshot

Sequential sensor fusion combining probability hypothesis density and kernelized correlation filters for multi-object tracking in video data

inferredcites →https://doi.org/10.1109/avss.2018.8639078openalex-snapshot

Online Multi-Object Tracking with Historical Appearance Matching and Scene Adaptive Detection Filtering

inferredcites →https://doi.org/10.1109/cvpr.2005.453openalex-snapshot

Evaluating Multi-Object Tracking

inferredcites →https://doi.org/10.1109/cvpr.2006.312openalex-snapshot

Tracking of Multiple, Partially Occluded Humans based on Static Body Part Detection

inferredcites →https://doi.org/10.1109/cvpr.2009.5206735openalex-snapshot

Learning to associate: HybridBoosted multi-target tracker for crowded scene

inferredcites →https://doi.org/10.1109/cvpr.2012.6248074openalex-snapshot

Are we ready for autonomous driving? The KITTI vision benchmark suite

inferredcites →https://doi.org/10.1109/cvpr.2016.420openalex-snapshot

The Solution Path Algorithm for Identity-Aware Multi-object Tracking

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PoseTrack: A Benchmark for Human Pose Estimation and Tracking

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Eliminating Exposure Bias and Metric Mismatch in Multiple Object Tracking

inferredcites →https://doi.org/10.1109/cvpr.2019.00813openalex-snapshot

MOTS: Multi-Object Tracking and Segmentation

inferredcites →https://doi.org/10.1109/cvpr.2019.00895openalex-snapshot

Argoverse: 3D Tracking and Forecasting With Rich Maps

inferredcites →https://doi.org/10.1109/cvpr.2019.00963openalex-snapshot

Panoptic Segmentation

inferredcites →https://doi.org/10.1109/cvpr42600.2020.00252openalex-snapshot

Scalability in Perception for Autonomous Driving: Waymo Open Dataset

inferredcites →https://doi.org/10.1109/cvpr42600.2020.00271openalex-snapshot

BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning

inferredcites →https://doi.org/10.1109/cvpr42600.2020.00333openalex-snapshot

PANDA: A Gigapixel-Level Human-Centric Video Dataset

inferredcites →https://doi.org/10.1109/cvpr42600.2020.00628openalex-snapshot

Learning a Neural Solver for Multiple Object Tracking

inferredcites →https://doi.org/10.1109/cvpr42600.2020.01164openalex-snapshot

nuScenes: A Multimodal Dataset for Autonomous Driving

inferredcites →https://doi.org/10.1109/cvprw.2013.111openalex-snapshot

Challenges of Ground Truth Evaluation of Multi-target Tracking

inferredcites →https://doi.org/10.1109/cvprw.2017.184openalex-snapshot

Track-Clustering Error Evaluation for Track-Based Multi-camera Tracking System Employing Human Re-identification

inferredcites →https://doi.org/10.1109/cvprw.2017.189openalex-snapshot

A Dataset for Persistent Multi-target Multi-camera Tracking in RGB-D

inferredcites →https://doi.org/10.1109/cvprw.2017.266openalex-snapshot

Enhancing Detection Model for Multiple Hypothesis Tracking

inferredcites →https://doi.org/10.1109/cvprw.2018.00192openalex-snapshot

Fusion of Head and Full-Body Detectors for Multi-object Tracking

inferredcites →https://doi.org/10.1109/cvprw.2019.00105openalex-snapshot

Multiple People Tracking Using Body and Joint Detections

inferredcites →https://doi.org/10.1109/icassp.2017.7952983openalex-snapshot

Particle PHD filter based multi-target tracking using discriminative group-structured dictionary learning

inferredcites →https://doi.org/10.1109/icce-asia.2016.7804800openalex-snapshot

Online multiple object tracking with the hierarchically adopted GM-PHD filter using motion and appearance

inferredcites →https://doi.org/10.1109/iccv.2009.5459275openalex-snapshot

An information theoretic approach for tracker performance evaluation

inferredcites →https://doi.org/10.1109/iccv.2011.6126235openalex-snapshot

Tracking multiple people under global appearance constraints

inferredcites →https://doi.org/10.1109/iccv.2015.533openalex-snapshot

Multiple Hypothesis Tracking Revisited

inferredcites →https://doi.org/10.1109/iccv.2017.278openalex-snapshot

Non-Markovian Globally Consistent Multi-object Tracking

inferredcites →https://doi.org/10.1109/iccv.2019.00103openalex-snapshot

Tracking Without Bells and Whistles

inferredcites →https://doi.org/10.1109/iccv.2019.00409openalex-snapshot

Spatial-Temporal Relation Networks for Multi-Object Tracking

inferredcites →https://doi.org/10.1109/iccv.2019.00529openalex-snapshot

Video Instance Segmentation

inferredcites →https://doi.org/10.1109/iccv.2019.00627openalex-snapshot

FAMNet: Joint Learning of Feature, Affinity and Multi-Dimensional Assignment for Online Multiple Object Tracking

inferredcites →https://doi.org/10.1109/iccvw.2019.00088openalex-snapshot

Video Instance Segmentation 2019: A Winning Approach for Combined Detection, Segmentation, Classification and Tracking

inferredcites →https://doi.org/10.1109/icip.2016.7533003openalex-snapshot

Simple online and realtime tracking

inferredcites →https://doi.org/10.1109/icip.2019.8803140openalex-snapshot

A Predictor of Moving Objects for First-Person Vision

inferredcites →https://doi.org/10.1109/icme.2018.8486597openalex-snapshot

Real-Time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-Identification

inferredcites →https://doi.org/10.1109/iros45743.2020.9341164openalex-snapshot

3D Multi-Object Tracking: A Baseline and New Evaluation Metrics

inferredcites →https://doi.org/10.1109/lra.2020.2969183openalex-snapshot

Track to Reconstruct and Reconstruct to Track

inferredcites →https://doi.org/10.1109/lsp.2019.2940922openalex-snapshot

Aggregate Tracklet Appearance Features for Multi-Object Tracking

inferredcites →https://doi.org/10.1109/tac.1975.1100851openalex-snapshot

A branching algorithm for discriminating and tracking multiple objects

inferredcites →https://doi.org/10.1109/tac.1979.1102177openalex-snapshot

An algorithm for tracking multiple targets

inferredcites →https://doi.org/10.1109/taes.1975.308178openalex-snapshot

Generalized Correlation of Multi-Target Track Data

inferredcites →https://doi.org/10.1109/tcsvt.2018.2882192openalex-snapshot

Heterogeneous Association Graph Fusion for Target Association in Multiple Object Tracking

inferredcites →https://doi.org/10.1109/tit.1974.1055256openalex-snapshot

Derivation and evaluation of improved tracking filter for use in dense multitarget environments

inferredcites →https://doi.org/10.1109/tmm.2019.2902480openalex-snapshot

Multi-Level Cooperative Fusion of GM-PHD Filters for Online Multiple Human Tracking

inferredcites →https://doi.org/10.1109/tpami.2013.70openalex-snapshot

Monotonicity and Error Type Differentiability in Performance Measures for Target Detection and Tracking in Video

inferredcites →https://doi.org/10.1109/tpami.2018.2876253openalex-snapshot

Motion Segmentation & Multiple Object Tracking by Correlation Co-Clustering

inferredcites →https://doi.org/10.1109/uic-atc.2017.8397673openalex-snapshot

The NVIDIA AI City Challenge

inferredcites →https://doi.org/10.1109/vspets.2005.1570931openalex-snapshot

PETS Metrics: On-Line Performance Evaluation Service

inferredcites →https://doi.org/10.1145/3343031.3350853openalex-snapshot

Exploit the Connectivity

inferredcites →https://doi.org/10.1155/2008/246309openalex-snapshot

Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics

inferredcites →https://doi.org/10.23919/fusion43075.2019.9011441openalex-snapshot

Online Multi-object Visual Tracking using a GM-PHD Filter with Deep Appearance Learning

inferredcites →https://doi.org/10.5220/0006564504290438openalex-snapshot

Online Multi-target Visual Tracking using a HISP Filter

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Online and Real-Time Mask-Guided Multi-Object Tracking and Segmentation

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Clustertracker: An Efficiency-Focused Multiple Object Tracking Method

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Pigtrack: A Novel Benchmark for Multi Object Tracking

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Unsmot: Unified Framework for Unsupervised Multi-Object Tracking with Geometric Topology Guidance

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Optimizing Deepstream Pipelines for Video Object Tracking on Multiple Processors Under Energy Constrains

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Hi‐LabSpermTracking: A Novel and High‐Quality Sperm Tracking Dataset with an Advanced Ensemble Detection and Tracking Approach for Real‐World Clinical Scenarios

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Segmentation and tracking of vegetable plants by exploiting vegetable shape feature for precision spray of agricultural robots

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S2MAT: Simultaneous and Self‐Reinforced Mapping and Tracking in Dynamic Urban Scenarios

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Real‐Time Multi‐View Flower Counting With a Ground Mobile Robot

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Regression-Aware Classification Feature for Pedestrian Detection and Tracking in Video Surveillance Systems

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Extracting Vehicle Track Information from Unstabilized Drone Aerial Videos Using YOLOv4 Common Object Detector and Computer Vision

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Pedestrian Head Detection and Tracking via Global Vision Transformer

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Data Association with Graph Network for Multi-Object Tracking

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Object Tracking with a Fusion of Event-Based Camera and Frame-Based Camera

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I-MuPPET: Interactive Multi-Pigeon Pose Estimation and Tracking

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Instance-Wise Contrastive Learning for Multi-object Tracking

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Tracking by Associating Clips

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MOTR: End-to-End Multiple-Object Tracking with Transformer

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Waymo Open Dataset: Panoramic Video Panoptic Segmentation

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Few-Shot Video Object Detection

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ByteTrack: Multi-object Tracking by Associating Every Detection Box

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Tracking Every Thing in the Wild

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PolarMOT: How Far Can Geometric Relations Take us in 3D Multi-object Tracking?

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Tracking Objects as Pixel-Wise Distributions

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The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting

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YOLO-Based Object Detection and Tracking for Autonomous Vehicles Using Edge Devices

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SOMPT22: A Surveillance Oriented Multi-pedestrian Tracking Dataset

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M3T: Multi-class Multi-instance Multi-view Object Tracking for Embodied AI Tasks

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D$$^{{3}}$$: Duplicate Detection Decontaminator for Multi-Athlete Tracking in Sports Videos

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Group Guided Data Association for Multiple Object Tracking

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Multiple Object Tracking Based on Temporal Local Slice Representation of Sub-regions

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BrackishMOT: The Brackish Multi-Object Tracking Dataset

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Tracking-by-Self Detection: A Self-supervised Framework for Multiple Animal Tracking

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BYTEv2: Associating More Detection Boxes Under Occlusion for Improved Multi-person Tracking

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An Efficient One-Shot Network and Robust Data Associations in Multi-pedestrian Tracking

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Fast Camera Motion Compensation Based Kalman Filter and Cascade Association for Multi-object Tracking

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Multiple Object Tracking Based on Variable GIoU-Embedding Matrix and Kalman Filter Compensation

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Video Coding for Machines Based on Motion Assisted Saliency Analysis

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Group Perception Based Self-adaptive Fusion Tracking

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Park Marking Detection and Tracking Based on a Vehicle On-Board System of Fisheye Cameras

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Multi-camera Tracking Based on Spatio-Temporal Association in Small Overlapping Regions

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SemTrack: A Large-Scale Dataset for Semantic Tracking in the Wild

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Beyond MOT: Semantic Multi-object Tracking

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Keypoint Promptable Re-Identification

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Walker: Self-supervised Multiple Object Tracking by Walking on Temporal Appearance Graphs

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SPAMming Labels: Efficient Annotations for the Trackers of Tomorrow

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Lost and Found: Overcoming Detector Failures in Online Multi-object Tracking

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Pedestrian Tracking Using Ankle-Level 2D-LiDAR Based on ByteTrack

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Deformable Multi-Scale Network for Snow Removal in Video

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AFMA-Track: Adaptive Fusion of Motion and Appearance for Robust Multi-object Tracking

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RTAT: A Robust Two-Stage Association Tracker for Multi-object Tracking

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Real-Time Multi-object Tracking Using YOLOv8 and SORT on a SoC FPGA

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Performance Assessment of Tracking Algorithms for Student Monitoring in University Campus: A Comparative Study

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CHOTA: A Higher Order Accuracy Metric for Cell Tracking

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Privacy Preserving Solution for People Flow Origin-Destination Matrix Estimation in Public Areas

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Person Detection and Differentiation in Shopping Scenarios

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inferred← citeshttps://doi.org/10.1007/978-3-032-31441-3_30openalex-snapshot

Joint 2D-3D Segmentation and Association in Street-Level Imaging

inferred← citeshttps://doi.org/10.1007/978-3-032-31654-7_38openalex-snapshot

Comparison of Real-Time Multi-object Tracking with Limited Hardware Resources

inferred← citeshttps://doi.org/10.1007/978-3-032-31663-9_30openalex-snapshot

Multi-camera Multi-object Tracking Based on Epipolar Distance and Appearance Similarity

inferred← citeshttps://doi.org/10.1007/978-3-032-37044-0_2openalex-snapshot

History-Aware Transformation of ReID Features for Multiple Object Tracking

inferred← citeshttps://doi.org/10.1007/978-3-032-37167-6_11openalex-snapshot

PS-MOT: Cultivating Instance Awareness from Point Seeds for Multi-object Tracking

inferred← citeshttps://doi.org/10.1007/978-3-032-37314-4_27openalex-snapshot

HieDG: A Hierarchical Discrete Geometry-Guided Framework for Multi-Animal Tracking

inferred← citeshttps://doi.org/10.1007/978-3-032-37359-5_23openalex-snapshot

PhenoLeaf-TS: A Time-Series Benchmark for Leaf Instance Segmentation, Tracking, and Growth Stage Classification

inferred← citeshttps://doi.org/10.1007/978-3-032-37369-4_12openalex-snapshot

SelfMOTR: Revisiting MOTR with Self-Generating Detection Priors

inferred← citeshttps://doi.org/10.1007/978-3-032-37595-7_8openalex-snapshot

DETRAM: End-to-End DEtection, Tracking and Recovery of HumAn Meshes

inferred← citeshttps://doi.org/10.1007/978-3-658-45196-7_8openalex-snapshot

Multi-Object Tracking based on Imaging Radar 3D Object Detection

inferred← citeshttps://doi.org/10.1007/978-981-19-6142-7_28openalex-snapshot

Human-Centered Real-Time Instance Segmentation with Integration with Data Association and SOLO

inferred← citeshttps://doi.org/10.1007/978-981-92-3501-8_21openalex-snapshot

Noise-Optimized Kalman Filter and Dynamic Scaling for Multi-object Tracking

inferred← citeshttps://doi.org/10.1007/978-981-92-3513-1_38openalex-snapshot

Reliable Motion-Aware Real-Time Multi-object Tracking for UAV Videos

inferred← citeshttps://doi.org/10.1007/978-981-92-3548-3_27openalex-snapshot

CQS-SORT: A Multi-object Vehicle Tracking Method for Port Scenarios Based on Compound-Eye Perception

inferred← citeshttps://doi.org/10.1007/978-981-92-3574-2_1openalex-snapshot

Real-Time Object Localization and Tracking Technology in Ports Based on Vision and High-Definition Map Fusion Perception

inferred← citeshttps://doi.org/10.1007/978-981-95-0648-4_7openalex-snapshot

Multiple Object Tracking in Point Cloud Sequences

inferred← citeshttps://doi.org/10.1007/978-981-95-5699-1_33openalex-snapshot

Rotated Box-Aware Segmentation for Fixed-Wing UAVs: A PCA-Enhanced SiamMask Approach

inferred← citeshttps://doi.org/10.1007/978-981-95-5755-4_20openalex-snapshot

AMC-SORT: Apply More Cues to Multi-Object Tracking

inferred← citeshttps://doi.org/10.1007/978-981-95-5755-4_23openalex-snapshot

GDMETracker: Multi-Object Tracking Through Grouped Diffusion-Based Nonlinear Motion Prediction

inferred← citeshttps://doi.org/10.1007/978-981-95-5755-4_33openalex-snapshot

TTT-MOT: A Test-Time Training and Adaptive Iterative Scale-Up ExpansionIoU for Multiple Object Tracking in Sports

inferred← citeshttps://doi.org/10.1007/978-981-95-5758-5_7openalex-snapshot

Multi-worm Tracking with Hierarchical Cues in Complex Microenvironments

inferred← citeshttps://doi.org/10.1007/978-981-95-5764-6_3openalex-snapshot

Towards Robust Infrared Wildlife Multi-object Tracking with Temperature-Aware Modeling

inferred← citeshttps://doi.org/10.1007/978-981-96-0122-6_8openalex-snapshot

GMMotion: Neighborhood Information Matters for Online Multi-pedestrian Tracking

inferred← citeshttps://doi.org/10.1007/978-981-96-0692-4_20openalex-snapshot

Selective Frame Analysis for Efficient Object Tracking: Balancing Speed with Accuracy in MOT Systems

inferred← citeshttps://doi.org/10.1007/978-981-96-0901-7_17openalex-snapshot

BoT-FaceSORT: Bag-of-Tricks for Robust Multi-face Tracking in Unconstrained Videos

inferred← citeshttps://doi.org/10.1007/978-981-96-0908-6_20openalex-snapshot

3D-Aware Instance Segmentation and Tracking in Egocentric Videos

inferred← citeshttps://doi.org/10.1007/978-981-96-0917-8_18openalex-snapshot

Enhanced Kalman with Adaptive Appearance Motion SORT for Grounded Generic Multiple Object Tracking

inferred← citeshttps://doi.org/10.1007/978-981-96-0960-4_26openalex-snapshot

PMTrack: Multi-object Tracking with Motion-Aware

inferred← citeshttps://doi.org/10.1007/978-981-96-2224-5_2openalex-snapshot

Evaluation of Cluster Target Sensing and Tracking Algorithms

inferred← citeshttps://doi.org/10.1007/978-981-96-2240-5_7openalex-snapshot

Multi-object Tracking with Graph-Aided Structure Correction and Motion Prediction

inferred← citeshttps://doi.org/10.1007/978-981-96-2644-1_6openalex-snapshot

GTA: Global Tracklet Association for Multi-object Tracking in Sports

inferred← citeshttps://doi.org/10.1007/978-981-96-2885-8_25openalex-snapshot

Spatio-temporal Graph Learning on Adaptive Mined Key Frames for High-Performance Multi-Object Tracking

inferred← citeshttps://doi.org/10.1007/978-981-96-3973-1_11openalex-snapshot

Multi-object Tracking Algorithm of Moving Scene Based on Bidirectional Buffering of Lost Trajectory

inferred← citeshttps://doi.org/10.1007/978-981-96-6596-9_7openalex-snapshot

LITE: A Paradigm Shift in Multi-object Tracking with Efficient ReID Feature Integration

inferred← citeshttps://doi.org/10.1007/978-981-97-1091-1_38openalex-snapshot

Multi-drone Multi-object Tracking with RGB Cameras Using Spatio-Temporal Cues

inferred← citeshttps://doi.org/10.1007/978-981-97-8493-6_13openalex-snapshot

RETrack: Multi-object Tracking by Associating Proposal Regions

inferred← citeshttps://doi.org/10.1007/978-981-97-8702-9_7openalex-snapshot

AM-SORT: Adaptable Motion Predictor with Historical Trajectory Embedding for Multi-Object Tracking

inferred← citeshttps://doi.org/10.1007/978-981-97-8858-3_22openalex-snapshot

SPLICEGNN: SPLIt and ConnEct Tracklets in a Unified Graph Neural Network

inferred← citeshttps://doi.org/10.1007/978-981-97-8858-3_26openalex-snapshot

More Efficient Encoder: Boosting Transformer-Based Multi-object Tracking Performance Through YOLOX

inferred← citeshttps://doi.org/10.1007/978-981-97-8858-3_3openalex-snapshot

MPE: A Fine-Grained Multi-path Feature Enhancer in MOT

inferred← citeshttps://doi.org/10.1007/978-981-99-4725-6_69openalex-snapshot

DTTP Model - A Deep Learning-Based Model for Detecting and Tracking Target Person

inferred← citeshttps://doi.org/10.1007/978-981-99-8073-4_37openalex-snapshot

P-IoU: Accurate Motion Prediction Based Data Association for Multi-object Tracking

inferred← citeshttps://doi.org/10.1007/978-981-99-8181-6_15openalex-snapshot

BFTracker: A One-Shot Baseline Model with Fusion Similarity Algorithm Towards Real-Time Multi-object Tracking

inferred← citeshttps://doi.org/10.1007/978-981-99-9666-7_8openalex-snapshot

StrongOC-SORT: Make Observation-Centric SORT More Robust

inferred← citeshttps://doi.org/10.1007/s00138-024-01520-8openalex-snapshot

PTDS CenterTrack: pedestrian tracking in dense scenes with re-identification and feature enhancement

inferred← citeshttps://doi.org/10.1007/s00138-024-01531-5openalex-snapshot

BoostTrack: boosting the similarity measure and detection confidence for improved multiple object tracking

inferred← citeshttps://doi.org/10.1007/s00138-025-01675-yopenalex-snapshot

3D multi-object tracking based on parallel multimodal data association

inferred← citeshttps://doi.org/10.1007/s00138-025-01722-8openalex-snapshot

Multiple object tracking using weighted graph convolutional neural networks

inferred← citeshttps://doi.org/10.1007/s00138-025-01756-yopenalex-snapshot

Sportsort: overcoming challenges of multi-object tracking in sports through domain-specific features and out of view re-association

inferred← citeshttps://doi.org/10.1007/s00371-023-02901-2openalex-snapshot

A lightweight scheme of deep appearance extraction for robust online multi-object tracking

inferred← citeshttps://doi.org/10.1007/s00371-024-03367-6openalex-snapshot

A survey on soccer player detection and tracking with videos

inferred← citeshttps://doi.org/10.1007/s00371-024-03544-7openalex-snapshot

ROMOT: Referring-expression-comprehension open-set multi-object tracking

inferred← citeshttps://doi.org/10.1007/s00371-024-03772-xopenalex-snapshot

Enhanced multi-object tracking via embedded graph matching and differentiable Sinkhorn assignment: addressing challenges in occlusion and varying object appearances

inferred← citeshttps://doi.org/10.1007/s00371-025-03861-5openalex-snapshot

Enhancing multi-object tracking efficiency through result-guided feature extraction and query filtering

inferred← citeshttps://doi.org/10.1007/s00371-025-03872-2openalex-snapshot

Adaptive and extended trajectory matching for robust multi-target tracking

inferred← citeshttps://doi.org/10.1007/s00371-025-04243-7openalex-snapshot

Engineering an efficient object tracker for nonlinear motion

inferred← citeshttps://doi.org/10.1007/s00371-026-04456-4openalex-snapshot

DiffFish: a unified diffusion model for robust multi-object fish tracking in aquaculture

inferred← citeshttps://doi.org/10.1007/s00371-026-04630-8openalex-snapshot

Physics-driven snowy scene rendering and robust vehicle tracking under adverse weather

inferred← citeshttps://doi.org/10.1007/s00371-026-04700-xopenalex-snapshot

From detection to identity preservation: A pipeline–scenario–protocol–readiness review of datasets for visual multi-person tracking and re-identification

inferred← citeshttps://doi.org/10.1007/s00371-026-04761-yopenalex-snapshot

Buffered identity commitment for open-world person re-identification in multi-object tracking

inferred← citeshttps://doi.org/10.1007/s00521-022-07456-2openalex-snapshot

Similarity based person re-identification for multi-object tracking using deep Siamese network

inferred← citeshttps://doi.org/10.1007/s00521-023-09287-1openalex-snapshot

GTAN: graph-based tracklet association network for multi-object tracking

inferred← citeshttps://doi.org/10.1007/s00521-024-09773-0openalex-snapshot

Multiple object tracking based on appearance and motion graph convolutional neural networks with an explainer

inferred← citeshttps://doi.org/10.1007/s00521-024-09799-4openalex-snapshot

A hybrid approach to real-time multi-target tracking

inferred← citeshttps://doi.org/10.1007/s00521-024-10853-4openalex-snapshot

A framework for object tracking in videos with complex backgrounds and obstructions

inferred← citeshttps://doi.org/10.1007/s00530-023-01052-7openalex-snapshot

Adaptive Kalman Filter with power transformation for online multi-object tracking

inferred← citeshttps://doi.org/10.1007/s00530-024-01407-8openalex-snapshot

TrafficTrack: rethinking the motion and appearance cue for multi-vehicle tracking in traffic monitoring

inferred← citeshttps://doi.org/10.1007/s00530-025-01679-8openalex-snapshot

Multi-object tracking based on graph neural networks

inferred← citeshttps://doi.org/10.1007/s00530-025-02108-6openalex-snapshot

Multi-object tracking in the low-light with two-stage association and denoising based on image feature enhancement

inferred← citeshttps://doi.org/10.1007/s10115-024-02237-wopenalex-snapshot

Self-supervised re-identification for online joint multi-object tracking

inferred← citeshttps://doi.org/10.1007/s10462-025-11212-yopenalex-snapshot

Multi-object tracking review: retrospective and emerging trend

inferred← citeshttps://doi.org/10.1007/s10462-026-11615-5openalex-snapshot

Beyond image generation: visual data analysis with diffusion models—a comprehensive survey

inferred← citeshttps://doi.org/10.1007/s10489-021-02457-5openalex-snapshot

Online multi-object tracking using multi-function integration and tracking simulation training

inferred← citeshttps://doi.org/10.1007/s10489-022-03432-4openalex-snapshot

Delving into monocular 3D vehicle tracking: a decoupled framework and a dedicated metric

inferred← citeshttps://doi.org/10.1007/s10489-023-04617-1openalex-snapshot

STMT: Spatio-temporal memory transformer for multi-object tracking

inferred← citeshttps://doi.org/10.1007/s10489-024-05682-wopenalex-snapshot

WDTtrack: tracking multiple objects with indistinguishable appearance and irregular motion

inferred← citeshttps://doi.org/10.1007/s10489-024-05866-4openalex-snapshot

ETTrack: enhanced temporal motion predictor for multi-object tracking

inferred← citeshttps://doi.org/10.1007/s10489-024-06037-1openalex-snapshot

BAM-SORT: border-guided activated matching for online multi-object tracking

inferred← citeshttps://doi.org/10.1007/s10499-026-02700-1openalex-snapshot

Deep learning-based fish behavior recognition for intelligent aquaculture: progress, challenges, and future perspectives

inferred← citeshttps://doi.org/10.1007/s10586-024-05059-1openalex-snapshot

A robust approach to deformed pedestrian tracking with multi-trajectory prediction

inferred← citeshttps://doi.org/10.1007/s10994-024-06592-1openalex-snapshot

LaMMOn: language model combined graph neural network for multi-target multi-camera tracking in online scenarios

inferred← citeshttps://doi.org/10.1007/s11042-021-11624-2openalex-snapshot

$$360^{\circ }$$ real-time and power-efficient 3D DAMOT for autonomous driving applications

inferred← citeshttps://doi.org/10.1007/s11042-023-17983-2openalex-snapshot

Exploring the State-of-the-Art in Multi-Object Tracking: A Comprehensive Survey, Evaluation, Challenges, and Future Directions

inferred← citeshttps://doi.org/10.1007/s11042-024-18382-xopenalex-snapshot

Joint self-supervised learning of interest point, descriptor, depth, and ego-motion from monocular video

inferred← citeshttps://doi.org/10.1007/s11042-024-20360-2openalex-snapshot

Basketball-SORT: an association method for complex multi-object occlusion problems in basketball multi-object tracking

inferred← citeshttps://doi.org/10.1007/s11119-024-10132-1openalex-snapshot

A passion fruit counting method based on the lightweight YOLOv5s and improved DeepSORT

inferred← citeshttps://doi.org/10.1007/s11227-025-07381-wopenalex-snapshot

Multi-object tracking in surveillance scenarios based on joint detection and multi-feature fusion

inferred← citeshttps://doi.org/10.1007/s11227-025-07466-6openalex-snapshot

Preaftrack: multi-object tracking based on adaptive feature matching from detection results

inferred← citeshttps://doi.org/10.1007/s11227-025-07730-9openalex-snapshot

Multi-cue SORT: integrating weak cues with appearance and motion for multi-object tracking

inferred← citeshttps://doi.org/10.1007/s11227-025-07991-4openalex-snapshot

Multi-vehicle tracking in highway roadside surveillance videos via spatial–temporal fusion network with adaptive decay memory

inferred← citeshttps://doi.org/10.1007/s11263-021-01455-xopenalex-snapshot

Guest Editorial: Special Issue on Performance Evaluation in Computer Vision

inferred← citeshttps://doi.org/10.1007/s11263-022-01678-6openalex-snapshot

Multi-Object Tracking and Segmentation Via Neural Message Passing

inferred← citeshttps://doi.org/10.1007/s11263-022-01694-6openalex-snapshot

Visual Object Tracking in First Person Vision

inferred← citeshttps://doi.org/10.1007/s11263-022-01711-8openalex-snapshot

AnimalTrack: A Benchmark for Multi-Animal Tracking in the Wild

inferred← citeshttps://doi.org/10.1007/s11263-023-01842-6openalex-snapshot

HiEve: A Large-Scale Benchmark for Human-Centric Video Analysis in Complex Events

inferred← citeshttps://doi.org/10.1007/s11263-023-01857-zopenalex-snapshot

Benchmarking the Complementary-View Multi-human Association and Tracking

inferred← citeshttps://doi.org/10.1007/s11263-023-01922-7openalex-snapshot

DIVOTrack: A Novel Dataset and Baseline Method for Cross-View Multi-Object Tracking in DIVerse Open Scenes

inferred← citeshttps://doi.org/10.1007/s11263-023-01933-4openalex-snapshot

FastTrack: A Highly Efficient and Generic GPU-Based Multi-object Tracking Method with Parallel Kalman Filter

inferred← citeshttps://doi.org/10.1007/s11263-023-01937-0openalex-snapshot

BioDrone: A Bionic Drone-Based Single Object Tracking Benchmark for Robust Vision

inferred← citeshttps://doi.org/10.1007/s11263-023-01943-2openalex-snapshot

Towards Frame Rate Agnostic Multi-object Tracking

inferred← citeshttps://doi.org/10.1007/s11263-024-02074-yopenalex-snapshot

3D-MuPPET: 3D Multi-Pigeon Pose Estimation and Tracking

inferred← citeshttps://doi.org/10.1007/s11263-024-02237-xopenalex-snapshot

APPTracker+: Displacement Uncertainty for Occlusion Handling in Low-Frame-Rate Multiple Object Tracking

inferred← citeshttps://doi.org/10.1007/s11263-025-02439-xopenalex-snapshot

Autoregressive Temporal Modeling for Advanced Tracking-by-Diffusion

inferred← citeshttps://doi.org/10.1007/s11263-026-02858-4openalex-snapshot

NOOUGAT Towards Unified Online and Offline Multi-Object Tracking

inferred← citeshttps://doi.org/10.1007/s11263-026-02887-zopenalex-snapshot

Learning Pseudo 3D Representation for Ego-centric 2D Multiple Object Tracking

inferred← citeshttps://doi.org/10.1007/s11390-022-2204-8openalex-snapshot

CGTracker: Center Graph Network for One-Stage Multi-Pedestrian-Object Detection and Tracking

inferred← citeshttps://doi.org/10.1007/s11432-024-4849-2openalex-snapshot

TrackSSM: a general motion predictor using a state space model

inferred← citeshttps://doi.org/10.1007/s11554-024-01482-0openalex-snapshot

A power-aware vision-based virtual sensor for real-time edge computing

inferred← citeshttps://doi.org/10.1007/s11554-024-01513-wopenalex-snapshot

A full-detection association tracker with confidence optimization for real-time multi-object tracking

inferred← citeshttps://doi.org/10.1007/s11760-025-04240-2openalex-snapshot

Joint detection and embedding of multi-object tracking with feature decoupling

inferred← citeshttps://doi.org/10.1007/s11760-025-04287-1openalex-snapshot

DP-SORT:Research on a density-layered association MOT algorithm integrating human pose information

inferred← citeshttps://doi.org/10.1007/s11760-025-04432-wopenalex-snapshot

Enhanced-MOT: Robust Multi-Pedestrian Tracking with Enhanced IoU and Deep Features Association

inferred← citeshttps://doi.org/10.1007/s11760-025-04748-7openalex-snapshot

Efficient real-time multi-object tracking algorithm for complex scenarios

inferred← citeshttps://doi.org/10.1007/s11760-026-05394-3openalex-snapshot

Multi-object pedestrian tracking method based on crowded matching

inferred← citeshttps://doi.org/10.1007/s11760-026-05669-9openalex-snapshot

Joint human–machine neural video compression via task-aware conditional priors

inferred← citeshttps://doi.org/10.1007/s11831-025-10314-8openalex-snapshot

Object Tracking: A Comprehensive Survey of Deep and Traditional Methods

inferred← citeshttps://doi.org/10.1007/s11831-026-10554-2openalex-snapshot

Advancements in Computer Vision–Based Fish Multi-Object Tracking: A Comprehensive Review

inferred← citeshttps://doi.org/10.1007/s12283-024-00466-4openalex-snapshot

SoccerNet 2023 challenges results

inferred← citeshttps://doi.org/10.1007/s13042-023-02070-7openalex-snapshot

Rlm-tracking: online multi-pedestrian tracking supported by relative location mapping

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Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.