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Occlusion and multi-scale pedestrian detection A review

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

inferredcites →https://doi.org/10.1007/s00138-022-01293-yopenalex-snapshot
EfficientLiteDet: a real-time pedestrian and vehicle detection algorithm
inferredcites →https://doi.org/10.1007/s00371-020-01997-0openalex-snapshot
Joint information fusion and multi-scale network model for pedestrian detection
inferredcites →https://doi.org/10.1007/s00371-022-02528-9openalex-snapshot
Efficient feature fusion network based on center and scale prediction for pedestrian detection
inferredcites →https://doi.org/10.1007/s00521-018-3815-4openalex-snapshot
G2P: a new descriptor for pedestrian detection
inferredcites →https://doi.org/10.1007/s00521-019-04057-4openalex-snapshot
Pedestrian detection via deep segmentation and context network
inferredcites →https://doi.org/10.1007/s00521-021-06265-3openalex-snapshot
Learning efficient single stage pedestrian detection by squeeze-and-excitation network
inferredcites →https://doi.org/10.1007/s00530-022-00891-0openalex-snapshot
Multi-scale feature balance enhancement network for pedestrian detection
inferredcites →https://doi.org/10.1007/s10489-018-1326-8openalex-snapshot
Context-aware pedestrian detection especially for small-sized instances with Deconvolution Integrated Faster RCNN (DIF R-CNN)
inferredcites →https://doi.org/10.1007/s10489-021-02796-3openalex-snapshot
MAFA-net: pedestrian detection network based on multi-scale attention feature aggregation
inferredcites →https://doi.org/10.1007/s10489-021-02798-1openalex-snapshot
R-SSD: refined single shot multibox detector for pedestrian detection
inferredcites →https://doi.org/10.1007/s10489-022-03747-2openalex-snapshot
Multi-branch detection network based on trigger attention for pedestrian detection under occlusion
inferredcites →https://doi.org/10.1007/s10514-015-9491-7openalex-snapshot
Multi-robot target detection and tracking: taxonomy and survey
inferredcites →https://doi.org/10.1007/s10851-018-0834-9openalex-snapshot
Shearlet Features for Pedestrian Detection
inferredcites →https://doi.org/10.1007/s11042-018-6240-xopenalex-snapshot
Multi-scale pedestrian detection using skip pooling and recurrent convolution
inferredcites →https://doi.org/10.1007/s11042-020-08864-zopenalex-snapshot
A heuristic SVM based pedestrian detection approach employing shape and texture descriptors
inferredcites →https://doi.org/10.1007/s11063-018-9837-1openalex-snapshot
Rapid Pedestrian Detection Based on Deep Omega-Shape Features with Partial Occlusion Handing
inferredcites →https://doi.org/10.1007/s11063-022-10910-wopenalex-snapshot
Global Context-Aware Feature Extraction and Visible Feature Enhancement for Occlusion-Invariant Pedestrian Detection in Crowded Scenes
inferredcites →https://doi.org/10.1007/s11227-020-03345-4openalex-snapshot
High-performance and deep pedestrian detection based on estimation of different parts
inferredcites →https://doi.org/10.1007/s11227-022-04815-7openalex-snapshot
FE-CSP: a fast and efficient pedestrian detector with center and scale prediction
inferredcites →https://doi.org/10.1007/s11263-005-6644-8openalex-snapshot
Detecting Pedestrians Using Patterns of Motion and Appearance
inferredcites →https://doi.org/10.1007/s11263-021-01461-zopenalex-snapshot
Guided Attention in CNNs for Occluded Pedestrian Detection and Re-identification
inferredcites →https://doi.org/10.1007/s11265-018-1361-zopenalex-snapshot
Pedestrian Detection by Using Weighted Channel Features with Hierarchical Region Reduction
inferredcites →https://doi.org/10.1007/s11432-020-2969-8openalex-snapshot
PSC-Net: learning part spatial co-occurrence for occluded pedestrian detection
inferredcites →https://doi.org/10.1007/s11432-021-3300-2openalex-snapshot
HAPNet: a head-aware pedestrian detection network associated with the affinity field
inferredcites →https://doi.org/10.1007/s11554-021-01074-2openalex-snapshot
An improved one-stage pedestrian detection method based on multi-scale attention feature extraction
inferredcites →https://doi.org/10.1007/s13735-021-00212-7openalex-snapshot
Optimized MobileNet + SSD: a real-time pedestrian detection on a low-end edge device
inferredcites →https://doi.org/10.1007/s40747-022-00728-3openalex-snapshot
Self-attention-guided scale-refined detector for pedestrian detection
inferredcites →https://doi.org/10.1007/s42835-021-00673-0openalex-snapshot
A New Multi-scale Pedestrian Detection Algorithm in Traffic Environment
inferredcites →https://doi.org/10.1016/j.cviu.2020.102968openalex-snapshot
Intelligent video analysis: A Pedestrian trajectory extraction method for the whole indoor space without blind areas
inferredcites →https://doi.org/10.1016/j.future.2021.06.016openalex-snapshot
Research on pedestrian detection technology based on the SVM classifier trained by HOG and LTP features
inferredcites →https://doi.org/10.1016/j.ins.2020.10.049openalex-snapshot
Conditional random fields as message passing mechanism in anchor-free network for multi-scale pedestrian detection
inferredcites →https://doi.org/10.1016/j.jvcir.2019.102579openalex-snapshot
Pedestrian detection using multi-channel visual feature fusion by learning deep quality model
inferredcites →https://doi.org/10.1016/j.measurement.2021.109386openalex-snapshot
A real-time, continuous pedestrian tracking and positioning method with multiple coordinated overhead-view cameras
inferredcites →https://doi.org/10.1016/j.neucom.2019.12.110openalex-snapshot
Hybrid channel based pedestrian detection
inferredcites →https://doi.org/10.1016/j.neucom.2020.02.094openalex-snapshot
A novel data augmentation scheme for pedestrian detection with attribute preserving GAN
inferredcites →https://doi.org/10.1016/j.neucom.2020.05.019openalex-snapshot
Asymmetric multi-stage CNNs for small-scale pedestrian detection
inferredcites →https://doi.org/10.1016/j.neucom.2020.12.005openalex-snapshot
MAPD: An improved multi-attribute pedestrian detection in a crowd
inferredcites →https://doi.org/10.1016/j.neucom.2021.11.091openalex-snapshot
Urban scene based Semantical Modulation for Pedestrian Detection
inferredcites →https://doi.org/10.1016/j.neucom.2022.01.056openalex-snapshot
PRNet++: Learning towards generalized occluded pedestrian detection via progressive refinement network
inferredcites →https://doi.org/10.1016/j.neucom.2022.08.026openalex-snapshot
Occluded pedestrian detection through bi-center prediction in anchor-free network
inferredcites →https://doi.org/10.1016/j.patcog.2018.08.018openalex-snapshot
Multi-label learning of part detectors for occluded pedestrian detection
inferredcites →https://doi.org/10.1016/j.patcog.2021.107846openalex-snapshot
Pedestrian detection with super-resolution reconstruction for low-quality image
inferredcites →https://doi.org/10.1016/j.patcog.2022.108605openalex-snapshot
High quality proposal feature generation for crowded pedestrian detection
inferredcites →https://doi.org/10.1016/j.patcog.2022.109071openalex-snapshot
Center and Scale Prediction: Anchor-free Approach for Pedestrian and Face Detection
inferredcites →https://doi.org/10.1016/j.patrec.2019.12.010openalex-snapshot
Attention guided neural network models for occluded pedestrian detection
inferredcites →https://doi.org/10.1023/a:1008162616689openalex-snapshot
A Trainable System for Object Detection
inferredcites →https://doi.org/10.1049/ipr2.12196openalex-snapshot
Occluded pedestrian detection combined with semantic features
inferredcites →https://doi.org/10.1109/access.2019.2896201openalex-snapshot
Deep Feature Fusion by Competitive Attention for Pedestrian Detection
inferredcites →https://doi.org/10.1109/access.2019.2899105openalex-snapshot
Part-Level Convolutional Neural Networks for Pedestrian Detection Using Saliency and Boundary Box Alignment
inferredcites →https://doi.org/10.1109/access.2019.2901270openalex-snapshot
See Extensively While Focusing on the Core Area for Pedestrian Detection
inferredcites →https://doi.org/10.1109/access.2019.2910201openalex-snapshot
PedJointNet: Joint Head-Shoulder and Full Body Deep Network for Pedestrian Detection
inferredcites →https://doi.org/10.1109/access.2019.2928879openalex-snapshot
Learning Pixel-Level and Instance-Level Context-Aware Features for Pedestrian Detection in Crowds
inferredcites →https://doi.org/10.1109/access.2019.2936454openalex-snapshot
A Pedestrian Detection Method Based on Genetic Algorithm for Optimize XGBoost Training Parameters
inferredcites →https://doi.org/10.1109/access.2019.2952432openalex-snapshot
Motion Recognition Algorithm Based on Deep Edge-Aware Pyramid Pooling Network in Human–Computer Interaction
inferredcites →https://doi.org/10.1109/access.2020.2978344openalex-snapshot
A Comprehensive Overview of Person Re-Identification Approaches
inferredcites →https://doi.org/10.1109/access.2020.2995321openalex-snapshot
Scale-Aware Hierarchical Detection Network for Pedestrian Detection
inferredcites →https://doi.org/10.1109/access.2020.2999694openalex-snapshot
Detecting Small Scale Pedestrians and Anthropomorphic Negative Samples Based on Light-Field Imaging
inferredcites →https://doi.org/10.1109/access.2020.3012558openalex-snapshot
An Improved Faster R-CNN Pedestrian Detection Algorithm Based on Feature Fusion and Context Analysis
inferredcites →https://doi.org/10.1109/access.2020.3018306openalex-snapshot
DA-Net: Pedestrian Detection Using Dense Connected Block and Attention Modules
inferredcites →https://doi.org/10.1109/access.2020.3022517openalex-snapshot
An IF-RCNN Algorithm for Pedestrian Detection in Pedestrian Tunnels
inferredcites →https://doi.org/10.1109/access.2021.3063294openalex-snapshot
Pedestrian Detection Using Quaternion Gradient Based Weber Local Descriptor
inferredcites →https://doi.org/10.1109/access.2021.3102600openalex-snapshot
Adaptive Fusion of Multi-Scale YOLO for Pedestrian Detection
inferredcites →https://doi.org/10.1109/icip.2019.8803030openalex-snapshot
Multi-Resolution Generative Adversarial Networks for Tiny-Scale Pedestrian Detection
inferredcites →https://doi.org/10.1109/icpr.2000.905263openalex-snapshot
Proceedings 15th International Conference on Pattern Recognition. ICPR-2000
inferredcites →https://doi.org/10.1109/icra9996.2006openalex-snapshot
Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006.
inferredcites →https://doi.org/10.1109/ispa-bdcloud-sustaincom-socialcom48970.2019.00212openalex-snapshot
A Novel Architecture of Pedestrian Detection
inferredcites →https://doi.org/10.1109/ithings/greencom/cpscom/smartdata.2019.00063openalex-snapshot
Research on Improved Pedestrian Detection Algorithm Based on Convolutional Neural Network
inferredcites →https://doi.org/10.1109/jsen.2019.2929527openalex-snapshot
Occluded Pedestrian Detection Based on Depth Vision Significance in Biomimetic Binocular
inferredcites →https://doi.org/10.1109/jsen.2021.3105680openalex-snapshot
Research on Abnormal Pedestrian Trajectory Detection of Dynamic Crowds in Public Scenarios
inferredcites →https://doi.org/10.1109/tcsvt.2018.2883558openalex-snapshot
Multi-Grained Deep Feature Learning for Robust Pedestrian Detection
inferredcites →https://doi.org/10.1109/tcsvt.2019.2913114openalex-snapshot
S3D: Scalable Pedestrian Detection via Score Scale Surface Discrimination
inferredcites →https://doi.org/10.1109/tcsvt.2020.3000223openalex-snapshot
PEN: Pose-Embedding Network for Pedestrian Detection
inferredcites →https://doi.org/10.1109/tifs.2019.2916592openalex-snapshot
JCS-Net: Joint Classification and Super-Resolution Network for Small-Scale Pedestrian Detection in Surveillance Images
inferredcites →https://doi.org/10.1109/tip.2019.2938877openalex-snapshot
Efficient Single-Stage Pedestrian Detector by Asymptotic Localization Fitting and Multi-Scale Context Encoding
inferredcites →https://doi.org/10.1109/tip.2020.2966371openalex-snapshot
Graininess-Aware Deep Feature Learning for Robust Pedestrian Detection
inferredcites →https://doi.org/10.1109/tip.2020.3038371openalex-snapshot
Coupled Network for Robust Pedestrian Detection With Gated Multi-Layer Feature Extraction and Deformable Occlusion Handling
inferredcites →https://doi.org/10.1109/tip.2020.3040854openalex-snapshot
Mask-Guided Attention Network and Occlusion-Sensitive Hard Example Mining for Occluded Pedestrian Detection
inferredcites →https://doi.org/10.1109/tip.2021.3056223openalex-snapshot
Learning Person Re-Identification Models From Videos With Weak Supervision
inferredcites →https://doi.org/10.1109/tip.2021.3115672openalex-snapshot
AutoPedestrian: An Automatic Data Augmentation and Loss Function Search Scheme for Pedestrian Detection
inferredcites →https://doi.org/10.1109/tip.2022.3189803openalex-snapshot
Pedestrian Detection by Exemplar-Guided Contrastive Learning
inferredcites →https://doi.org/10.1109/tits.2018.2876614openalex-snapshot
An Embedded Computer-Vision System for Multi-Object Detection in Traffic Surveillance
inferredcites →https://doi.org/10.1109/tits.2019.2923752openalex-snapshot
Small-Scale Pedestrian Detection Based on Deep Neural Network
inferredcites →https://doi.org/10.1109/tits.2019.2942045openalex-snapshot
CircleNet: Reciprocating Feature Adaptation for Robust Pedestrian Detection
inferredcites →https://doi.org/10.1109/tits.2019.2963700openalex-snapshot
A Part-Aware Multi-Scale Fully Convolutional Network for Pedestrian Detection
inferredcites →https://doi.org/10.1109/tits.2020.3041679openalex-snapshot
Feature Calibration Network for Occluded Pedestrian Detection
inferredcites →https://doi.org/10.1109/tits.2021.3094800openalex-snapshot
Occluded Pedestrian Detection via Distribution-Based Mutual-Supervised Feature Learning
inferredcites →https://doi.org/10.1109/tits.2022.3142445openalex-snapshot
Enhanced Multi-Task Learning Architecture for Detecting Pedestrian at Far Distance
inferredcites →https://doi.org/10.1109/tits.2022.3144359openalex-snapshot
Sequential Attention-Based Distinct Part Modeling for Balanced Pedestrian Detection
inferredcites →https://doi.org/10.1109/tits.2022.3171250openalex-snapshot
OAF-Net: An Occlusion-Aware Anchor-Free Network for Pedestrian Detection in a Crowd
inferredcites →https://doi.org/10.1109/tits.2022.3196854openalex-snapshot
Pedestrian Detection Using MB-CSP Model and Boosted Identity Aware Non-Maximum Suppression
inferredcites →https://doi.org/10.1109/tmm.2017.2759508openalex-snapshot
Scale-aware Fast R-CNN for Pedestrian Detection
inferredcites →https://doi.org/10.1109/tmm.2019.2929005openalex-snapshot
WiderPerson: A Diverse Dataset for Dense Pedestrian Detection in the Wild
inferredcites →https://doi.org/10.1109/tmm.2020.3020691openalex-snapshot
Attribute-Aware Pedestrian Detection in a Crowd
inferredcites →https://doi.org/10.1109/tnnls.2020.2975837openalex-snapshot
PoPPL: Pedestrian Trajectory Prediction by LSTM With Automatic Route Class Clustering
inferredcites →https://doi.org/10.1109/tnnls.2020.3004819openalex-snapshot
KGSNet: Key-Point-Guided Super-Resolution Network for Pedestrian Detection in the Wild
inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-snapshot
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
inferredcites →https://doi.org/10.1109/tpami.2019.2897684openalex-snapshot
EuroCity Persons: A Novel Benchmark for Person Detection in Traffic Scenes
inferredcites →https://doi.org/10.1109/tvt.2020.2976958openalex-snapshot
FPGA Implementation of Real-Time Pedestrian Detection Using Normalization-Based Validation of Adaptive Features Clustering
inferredcites →https://doi.org/10.1155/2021/5590895openalex-snapshot
Multiscale Anchor‐Free Region Proposal Network for Pedestrian Detection
inferredcites →https://doi.org/10.1155/2022/3798060openalex-snapshot
PFF-CB: Multiscale Occlusion Pedestrian Detection Method Based on PFF and CBAM
inferredcites →https://doi.org/10.18280/ts.360110openalex-snapshot
A Robust mRMR Based Pedestrian Detection Approach Using Shape Descriptor
inferredcites →https://doi.org/10.32604/cmc.2021.018781openalex-snapshot
YOLOv2PD: An Efficient Pedestrian Detection Algorithm Using Improved YOLOv2 Model
inferredcites →https://doi.org/10.3390/app11136025openalex-snapshot
Occluded Pedestrian Detection Techniques by Deformable Attention-Guided Network (DAGN)
inferredcites →https://doi.org/10.3390/app11199202openalex-snapshot
A Shallow–Deep Feature Fusion Method for Pedestrian Detection
inferredcites →https://doi.org/10.3390/app9040752openalex-snapshot
Joint Pedestrian and Body Part Detection via Semantic Relationship Learning
inferredcites →https://doi.org/10.3390/electronics11060966openalex-snapshot
Region Resolution Learning and Region Segmentation Learning with Overall and Body Part Perception for Pedestrian Detection
inferredcites →https://doi.org/10.3390/s19020391openalex-snapshot
Behavioral Pedestrian Tracking Using a Camera and LiDAR Sensors on a Moving Vehicle
inferredcites →https://doi.org/10.3390/s20133646openalex-snapshot
Pedestrian Detection Algorithm for Intelligent Vehicles in Complex Scenarios
inferredcites →https://doi.org/10.3390/s21051820openalex-snapshot
Multi-Scale Feature Pyramid Network: A Heavily Occluded Pedestrian Detection Network Based on ResNet
inferredcites →https://doi.org/10.3390/s21124189openalex-snapshot
Scale-Sensitive Feature Reassembly Network for Pedestrian Detection
inferredcites →https://doi.org/10.3390/s22155903openalex-snapshot
YOLOv5-AC: Attention Mechanism-Based Lightweight YOLOv5 for Track Pedestrian Detection
inferredcites →https://doi.org/10.4230/oasics.ng-res.2024.2openalex-snapshot
A Multi-Modal Distributed Real-Time IoT System for Urban Traffic Control (Invited Paper)
inferredcites →https://doi.org/10.48550/arxiv.1805.00123openalex-snapshot
CrowdHuman: A Benchmark for Detecting Human in a Crowd
inferredcites →https://doi.org/10.48550/arxiv.2004.10934openalex-snapshot
YOLOv4: Optimal Speed and Accuracy of Object Detection

What points at this work

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

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Collision Avoidance System Simulation for Occluded Pedestrian
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Improved Machine Vision-Driven Multi-Object Detection Model for Pedestrians in Occlusion Scenarios
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Multi-Scale Feature Pyramid Network With Camera Artifact Augmentation for Pedestrian Detection
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Multi-Scene Dataset and Object Detector for Outside Blind Individual Identification
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Coal Characterization and Classification through IDNN Innovations Contrasted with LeNet-5 and CNN Techniques
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Integrating Instruction-based Learning with Bidirectional LSTM for Autonomous Vehicle Pedestrian Detection
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Study of Deep Learning Models for Pedestrian Detection
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BCLD-YOLOv11: An Adaptive Channel Attention and Cross-Scale Feature Fusion-based Method for Real-time Pedestrian Detection in Crowded Scenes
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Prediction of Occluded Pedestrians in Road Scenes Using Human-Like Reasoning: Insights from the OccluRoads Dataset
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Pedestrian Intrusion Detection in Railway Station Based on Mirror Translation Attention and Feature Pooling Enhancement
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FG-DINO: Inducing Foreground Approximation Into DINO for Low-Resolution Surveillance Videos
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IFMO-YOLOv11 : An Infrared Moving Small Object Detection Model Based on YOLOv11
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REMW‐YOLO: A Balanced Dense Pedestrian Detection Model With Efficient Feature Extraction and Fusion
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Comparing Mask R-CNN backbone architectures for human detection using thermal imaging
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Integrating Human Pose Regression with Motion Analysis and Lightweight Edge Solutions for Advanced Pedestrian Detection
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Explainable AI Methods for Object Detection in Safety-CriticalApplications: A Systematic Review
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A Pedestrian Sensitive Training Algorithm for False Positives Suppression in Two-Stage CNN Detection Methods
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Pedestrian Detection Based on Feature Enhancement in Complex Scenes
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FA-YOLO: A Pedestrian Detection Algorithm with Feature Enhancement and Adaptive Sparse Self-Attention
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A Computer Vision-Based Pedestrian Flow Management System for Footbridges and Its Applications
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Autonomous Single-Image Dehazing: Enhancing Local Texture with Haze Density-Aware Image Blending
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Recognition of occluded pedestrians from the driver's perspective for extending sight distance and ensuring driving safety at signal-free intersections
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Benchmarking YOLO Variants on an Unseen Video: A Comparison of Inference Speed, GFLOPs, and Recall
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