On the public citation graph

A Robust Framework for Object Detection in a Traffic Surveillance System

0 signed · 92 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

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

inferredcites →https://doi.org/10.1007/978-3-319-10602-1_48openalex-snapshot
Microsoft COCO: Common Objects in Context
inferredcites →https://doi.org/10.1007/978-3-319-16628-5_26openalex-snapshot
Pedestrian Detection with Deep Convolutional Neural Network
inferredcites →https://doi.org/10.1007/978-3-319-46448-0_2openalex-snapshot
SSD: Single Shot MultiBox Detector
inferredcites →https://doi.org/10.1007/s11042-015-2520-xopenalex-snapshot
Vehicle detection and recognition for intelligent traffic surveillance system
inferredcites →https://doi.org/10.1007/s11042-022-13773-4openalex-snapshot
A robust framework to generate surveillance video summaries using combination of zernike moments and r-transform and deep neural network
inferredcites →https://doi.org/10.1007/s11263-009-0275-4openalex-snapshot
The Pascal Visual Object Classes (VOC) Challenge
inferredcites →https://doi.org/10.1007/s12559-016-9404-xopenalex-snapshot
Deep Belief Networks for Quantitative Analysis of a Gold Immunochromatographic Strip
inferredcites →https://doi.org/10.1016/j.image.2018.09.002openalex-snapshot
HybridNet: A fast vehicle detection system for autonomous driving
inferredcites →https://doi.org/10.1016/j.matcom.2017.12.011openalex-snapshot
Multi-vehicle detection algorithm through combining Harr and HOG features
inferredcites →https://doi.org/10.1016/j.media.2017.07.005openalex-snapshot
A survey on deep learning in medical image analysis
inferredcites →https://doi.org/10.1016/j.neunet.2020.09.013openalex-snapshot
Real-time gun detection in CCTV: An open problem
inferredcites →https://doi.org/10.1080/10807039.2022.2064814openalex-snapshot
A novel framework for potato leaf disease detection using an efficient deep learning model
inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-snapshot
ImageNet: A large-scale hierarchical image database
inferredcites →https://doi.org/10.1109/cvpr.2014.220openalex-snapshot
DeepFace: Closing the Gap to Human-Level Performance in Face Verification
inferredcites →https://doi.org/10.1109/cvpr.2015.7298594openalex-snapshot
Going deeper with convolutions
inferredcites →https://doi.org/10.1109/cvpr.2016.451openalex-snapshot
Multi-oriented Text Detection with Fully Convolutional Networks
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2016.91openalex-snapshot
You Only Look Once: Unified, Real-Time Object Detection
inferredcites →https://doi.org/10.1109/cvpr.2017.243openalex-snapshot
Densely Connected Convolutional Networks
inferredcites →https://doi.org/10.1109/cvpr.2017.690openalex-snapshot
YOLO9000: Better, Faster, Stronger
inferredcites →https://doi.org/10.1109/iccv.2015.169openalex-snapshot
Fast R-CNN
inferredcites →https://doi.org/10.1109/icis.2017.7960069openalex-snapshot
Application of deep learning in object detection
inferredcites →https://doi.org/10.1109/ivs.2016.7535375openalex-snapshot
A closer look at Faster R-CNN for vehicle detection
inferredcites →https://doi.org/10.1109/mmmc.2006.1651348openalex-snapshot
Motion and Haar-like Features Based Vehicle Detection
inferredcites →https://doi.org/10.1109/tcsvt.2017.2736553openalex-snapshot
T-CNN: Tubelets With Convolutional Neural Networks for Object Detection From Videos
inferredcites →https://doi.org/10.1109/tip.2006.877062openalex-snapshot
Monocular precrash vehicle detection: features and classifiers
inferredcites →https://doi.org/10.1109/tits.2015.2402438openalex-snapshot
Vehicle Type Classification Using a Semisupervised Convolutional Neural Network
inferredcites →https://doi.org/10.1109/tits.2018.2838132openalex-snapshot
SINet: A Scale-Insensitive Convolutional Neural Network for Fast Vehicle Detection
inferredcites →https://doi.org/10.1109/tmm.2011.2170666openalex-snapshot
Large-Scale Vehicle Detection, Indexing, and Search in Urban Surveillance Videos
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/wcica.2014.7052862openalex-snapshot
Vehicle detection based on LBP features of the Haar-like Characteristics
inferredcites →https://doi.org/10.1117/12.2309844openalex-snapshot
A vehicle real-time detection algorithm based on YOLOv2 framework
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1155/2020/8403262openalex-snapshot
Object Detection through Modified YOLO Neural Network
inferredcites →https://doi.org/10.1186/s12544-019-0390-4openalex-snapshot
Vision-based vehicle detection and counting system using deep learning in highway scenes
inferredcites →https://doi.org/10.3390/electronics11010026openalex-snapshot
A Novel Hybrid Approach Based on Deep CNN to Detect Glaucoma Using Fundus Imaging
inferredcites →https://doi.org/10.3390/s18124272openalex-snapshot
An Improved YOLOv2 for Vehicle Detection
inferredcites →https://doi.org/10.3390/s19153336openalex-snapshot
Multi-Scale Vehicle Detection for Foreground-Background Class Imbalance with Improved YOLOv2
inferredcites →https://doi.org/10.3390/s21186189openalex-snapshot
A Novel Hybrid Approach Based on Deep CNN Features to Detect Knee Osteoarthritis
inferredcites →https://doi.org/10.57702/zp44cu3gopenalex-snapshot
Learning Multiple Layers of Features from Tiny Images

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-031-56586-1_75openalex-snapshot
Deep Learning Based Object Detection on Gas Cylinders
inferred← citeshttps://doi.org/10.1007/978-981-96-7545-6_9openalex-snapshot
Weighted Voting Based Deep Ensemble Learning Framework for Digital Watermark Classification
inferred← citeshttps://doi.org/10.1007/s11042-023-17402-6openalex-snapshot
Instance segmentation of real time video for object detection using hybrid Mask RCNN-SVM
inferred← citeshttps://doi.org/10.1007/s11042-023-17751-2openalex-snapshot
Exploring the efficacy and comparative analysis of one-stage object detectors for computer vision: a review
inferred← citeshttps://doi.org/10.1007/s11042-024-19170-3openalex-snapshot
Hybrid harris hawk-arithmetic optimization with deep learning-driven object detection and classification for surveillance video analysis
inferred← citeshttps://doi.org/10.1007/s11042-024-20053-wopenalex-snapshot
DySARNet: a lightweight self-attention deep learning model for diagnosing dysarthria from speech recordings
inferred← citeshttps://doi.org/10.1007/s11801-024-3155-9openalex-snapshot
Learning background restoration and local sparse dictionary for infrared small target detection
inferred← citeshttps://doi.org/10.1007/s13198-024-02311-0openalex-snapshot
Performance analysis of surveillance video object detection using LUNET algorithm
inferred← citeshttps://doi.org/10.1007/s40998-025-01013-yopenalex-snapshot
Enhanced YOLOV5-LSTM Framework for Multi-Object Detection and Tracking in Surveillance Videos
inferred← citeshttps://doi.org/10.1007/s44196-024-00609-2openalex-snapshot
COVID-19 Detection Systems Based on Speech and Image Data Using Deep Learning Algorithms
inferred← citeshttps://doi.org/10.1016/j.future.2025.108079openalex-snapshot
A dual-stream parallel architecture for robust visual tracking using scale-aware region proposals
inferred← citeshttps://doi.org/10.1016/j.heliyon.2024.e25757openalex-snapshot
An efficient deepfake video detection using robust deep learning
inferred← citeshttps://doi.org/10.1016/j.heliyon.2024.e26155openalex-snapshot
Fly-LeNet: A deep learning-based framework for converting multilingual braille images
inferred← citeshttps://doi.org/10.1016/j.heliyon.2025.e42432openalex-snapshot
Real-time rapid accident detection for optimizing road safety in Bangladesh
inferred← citeshttps://doi.org/10.1016/j.prime.2024.100535openalex-snapshot
Multi-Object Detection using Enhanced YOLOv2 and LuNet Algorithms in Surveillance Videos
inferred← citeshttps://doi.org/10.1038/s41598-025-02042-7openalex-snapshot
A novel Swin transformer based framework for speech recognition for dysarthria
inferred← citeshttps://doi.org/10.1049/ipr2.70337openalex-snapshot
YOLO‐O: An Improved YOLO‐Based Framework for Vehicle Detection
inferred← citeshttps://doi.org/10.1109/acait60137.2023.10528447openalex-snapshot
Hazardous Chemical Vehicles Detection Based on Path Fusion and Multi-Scale Slicing
inferred← citeshttps://doi.org/10.1109/access.2023.3281259openalex-snapshot
Lung-RetinaNet: Lung Cancer Detection Using a RetinaNet With Multi-Scale Feature Fusion and Context Module
inferred← citeshttps://doi.org/10.1109/access.2024.3388889openalex-snapshot
Synchronizing Object Detection: Applications, Advancements and Existing Challenges
inferred← citeshttps://doi.org/10.1109/emergin67762.2025.11450689openalex-snapshot
Challenges Faced in the Adoption of E-Vehicles: A Bibliometric Review
inferred← citeshttps://doi.org/10.1109/icaft66710.2025.11453047openalex-snapshot
VisualTrackMapper: An Effective Strategy to Recognize Objects Using Advanced Deep Learning Models
inferred← citeshttps://doi.org/10.1109/icc-robins60238.2024.10533897openalex-snapshot
Road Traffic Accident Prediction using Deep Learning
inferred← citeshttps://doi.org/10.1109/icccnt61001.2024.10726262openalex-snapshot
Retracted: Lung-Retinanet Lung Cancer Detection Using A Retinanet With Multi-Scale Feature Fusion And Context Module
inferred← citeshttps://doi.org/10.1109/iccsai64074.2025.11064021openalex-snapshot
Lung-RetinaNet Lung Cancer Detection Using A RetinaNet With Multi-Scale Feature Fusion and Context Module
inferred← citeshttps://doi.org/10.1109/icicacs65178.2025.10968403openalex-snapshot
Temporal Object Detection in Videos Using Spatio-Temporal Transformers
inferred← citeshttps://doi.org/10.1109/iciics63763.2024.10860208openalex-snapshot
Evaluation of Sustainable Utilization of Urban Land Resources based on DensN et20 1 and Inception Version 3
inferred← citeshttps://doi.org/10.1109/iciiet65921.2025.11379069openalex-snapshot
Multi-Scale Feature Fusion and Context Module for Lung Cancer Detection in RetinaNet
inferred← citeshttps://doi.org/10.1109/icrcv59470.2023.10329180openalex-snapshot
Moodle Plugin for Real-time Face Recognition in Online Exams for Systems Engineering and Computer Science Students at Universidad Continental, Huancayo, Peru.
inferred← citeshttps://doi.org/10.1109/iementech202669403.2026.11434202openalex-snapshot
Lung-Retinanet: Lung Cancer Detection Using a Retina-Net with Multi-Scale Feature Fusion and Context Module
inferred← citeshttps://doi.org/10.1109/jsen.2026.3689924openalex-snapshot
SFNet: Sparse Fusion Network for Object Detection of Cross-Modal Images
inferred← citeshttps://doi.org/10.1140/epjp/s13360-026-07961-6openalex-snapshot
SMCI-YOLO: a low-light detector based on synergistic multi-component interaction
inferred← citeshttps://doi.org/10.14445/23488549/ijece-v11i5p101openalex-snapshot
SmartGuard FusionNet: A YOLOv5-Based Multi-Sensor Data Fusion Framework for Superior Weapon Detection in Smart Surveillance Systems
inferred← citeshttps://doi.org/10.14569/ijacsa.2023.0141215openalex-snapshot
Implementation of a Convolutional Neural Network (CNN)-based Object Detection Approach for Smart Surveillance Applications
inferred← citeshttps://doi.org/10.20944/preprints202309.1273.v1openalex-snapshot
Facial Emotions Detection using an Efficient Neural Architecture Search Network
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3103257/v1openalex-snapshot
An Efficient Deepfake Detection Using Robust Deep Learning Approch
inferred← citeshttps://doi.org/10.23919/indiacom66777.2025.11115780openalex-snapshot
A Novel Approach of Object Detection in Video Surveillance Systems Using DeepSORT and CapsNet-Based Access Control Procedure
inferred← citeshttps://doi.org/10.3103/s1060992x2560003xopenalex-snapshot
Deep Attention-Multistage GAN with Sparse Dense Fusion R-CNN for High-Resolution and Object Detection in Surveillance System
inferred← citeshttps://doi.org/10.3233/jifs-240537openalex-snapshot
RETRACTED: Research on pedestrian object detection algorithm in urban road scenes based on improved YOLOv5
inferred← citeshttps://doi.org/10.3390/app15010090openalex-snapshot
3L-YOLO: A Lightweight Low-Light Object Detection Algorithm
inferred← citeshttps://doi.org/10.3390/diagnostics12122974openalex-snapshot
Skin Lesion Detection Using Hand-Crafted and DL-Based Features Fusion and LSTM
inferred← citeshttps://doi.org/10.3390/electronics11244230openalex-snapshot
A Novel Geo-Social-Aware Video Edge Delivery Strategy Based on Modeling of Social-Geographical Dynamic in an Urban Area
inferred← citeshttps://doi.org/10.3390/electronics12010065openalex-snapshot
A Player-Specific Framework for Cricket Highlights Generation Using Deep Convolutional Neural Networks
inferred← citeshttps://doi.org/10.3390/electronics12010203openalex-snapshot
End-to-End Light License Plate Detection and Recognition Method Based on Deep Learning
inferred← citeshttps://doi.org/10.3390/electronics12020377openalex-snapshot
Wildlife Object Detection Method Applying Segmentation Gradient Flow and Feature Dimensionality Reduction
inferred← citeshttps://doi.org/10.3390/electronics12030538openalex-snapshot
Human Action Recognition for Dynamic Scenes of Emergency Rescue Based on Spatial-Temporal Fusion Network
inferred← citeshttps://doi.org/10.3390/electronics12132873openalex-snapshot
A Non-Intrusive Automated Testing System for Internet of Vehicles App Based on Deep Learning
inferred← citeshttps://doi.org/10.3390/electronics13153008openalex-snapshot
Overview of Pest Detection and Recognition Algorithms
inferred← citeshttps://doi.org/10.3390/info14110618openalex-snapshot
An Effective Ensemble Convolutional Learning Model with Fine-Tuning for Medicinal Plant Leaf Identification
inferred← citeshttps://doi.org/10.3390/su152215714openalex-snapshot
A Computer Vision-Based Algorithm for Detecting Vehicle Yielding to Pedestrians
inferred← citeshttps://doi.org/10.37385/jaets.v5i1.3207openalex-snapshot
Multi-Object Detection Using YOLOv7 Object Detection Algorithm on Mobile Device
inferred← citeshttps://doi.org/10.4018/979-8-3373-5540-5.ch009openalex-snapshot
Optimizing Waste Management Systems Through Deep Learning and Federated Learning Techniques
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.