TubeTK: Adopting Tubes to Track Multi-Object in a One-Step Training Model

Deep Residual Learning for Image Recognition

He, K., Zhang, X., Ren, S., & Sun, J. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.90 · Cited by 235,474

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Ren, S., He, K., Girshick, R., & Sun, J. (2017) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2016.2577031 · Cited by 73,472

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Ren, S., He, K., Girshick, R., & Sun, J. (2015) · arXiv · doi:10.48550/arxiv.1506.01497 · Cited by 70,812

You Only Look Once: Unified, Real-Time Object Detection

Redmon, J., Divvala, S., Girshick, R., & Farhadi, A. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.91 · Cited by 53,803

Untitled work

(2016) · Cited by 31,590

Feature Pyramid Networks for Object Detection

Lin, T.-Y., Dollar, P., Girshick, R., He, K., Hariharan, B., & Belongie, S. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.106 · Cited by 30,939

Focal Loss for Dense Object Detection

Lin, T.-Y., Goyal, P., Girshick, R., He, K., & Dollar, P. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2017.324 · Cited by 30,581

Fast R-CNN

Girshick, R. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2015.169 · Cited by 28,105

Object Detection with Discriminatively Trained Part-Based Models

Felzenszwalb, P. F., Girshick, R. B., McAllester, D., & Ramanan, D. (2010) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2009.167 · Cited by 9,853

Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

Carreira, J., & Zisserman, A. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.502 · Cited by 9,570

Solutions to floating pollution with deep learning: A multi-camera joint-based method for floating object detection and tracking

Renfei, C., Peng, Y. J., Li, Z., & Hua, S. (2025) · Expert Systems with Applications · doi:10.1016/j.eswa.2025.128535 · Cited by 3

VGT-MOT: visibility-guided tracking for online multiple-object tracking

Wang, S., Li, W., Wang, L., Xu, L., & Deng, Q. (2023) · Machine Vision and Applications · doi:10.1007/s00138-023-01398-y · Cited by 3

Multi-object tracking using context-sensitive enhancement via feature fusion

Zhou, Y., Chen, J., Wang, D., & Zhu, X. (2023) · Multimedia Tools and Applications · doi:10.1007/s11042-023-16027-z · Cited by 3

One-Stage Anchor-Free Online Multiple Target Tracking With Deformable Local Attention and Task-Aware Prediction

Hu, W., Wang, S., Zhou, Z., Gao, J. G., Li, Y., & Maybank, S. J. (2024) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2024.3457886 · Cited by 3

Automatic recognition of isolated piglet outliers based on multi-object tracking

Yang, Y., Li, C., Wang, X., Zhou, H., Yang, J., & Xue, Y. (2025) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2025.110377 · Cited by 3

DBSCAN-Based Tracklet Association Annealer for Advanced Multi-Object Tracking

Kim, J., & Cho, J. (2021) · Sensors · doi:10.3390/s21175715 · Cited by 3

Multi-Object Tracking Algorithm of Fusing Trajectory Compensation

Jin, J., Wang, L., You, Q., & Sun, J. (2022) · Mathematics · doi:10.3390/math10152606 · Cited by 3

Mask Guided Spatial-Temporal Fusion Network for Multiple Object Tracking

Zhao, S., Wu, Y., Wang, S., Ke, W., & Sheng, H. (2022) · Proceedings - International Conference on Image Processing · doi:10.1109/icip46576.2022.9898054 · Cited by 3

JDT-NAS: Designing Efficient Multi-Object Tracking Architectures for Non-GPU Computers

Chen, D., Shen, H., & Shen, Y. (2023) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2023.3275813 · Cited by 3

Advancing Person Re-Identification through Pose-Estimated Features

Mukherjee, A., & Johnson, D. O. (2023) · IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) · doi:10.1109/uemcon59035.2023.10316079 · Cited by 3

Appearance Guidance Attention for Multi-Object Tracking

Chen, Y. H., Huang, J., Liu, H., Huang, M., & Zou, Z. (2021) · IEEE Access · doi:10.1109/access.2021.3087168 · Cited by 3

Multiple Object Tracking with Correlation LearningPreprint

Wang, Q., Zheng, Y. P., Pan, P., & Xu, Y. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2104.03541 · Cited by 3

Spatial-Temporal Graph Transformer for Multiple Object TrackingPreprint

Chu, P., Wang, J., You, Q., Ling, H., & Liu, Z. (2021) · arXiv (Cornell University) · Cited by 4

Joint Learning Architecture for Multiple Object Tracking and Trajectory ForecastingPreprint

Kesa, O., Styles, O., & Sánchez, V. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2108.10543 · Cited by 4

Multi-Panda Tracking

Wang, L., Li, Q., Zhou, S., & Zheng, N. (2021) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2021.3130414 · Cited by 2

A New Benchmark for Consumer Visual Tracking and Apparent Demographic Estimation from RGB and Thermal Images

Panagos, I.-I., Giotis, A. P., Sofianopoulos, S., & Nikou, C. (2023) · Sensors · doi:10.3390/s23239510 · Cited by 2

Spatial-Attention Location-Aware Multi-Object Tracking

Han, J., Li, W., Pan, F., Zheng, D., & Gao, Q. G. (2022) · Chinese Control Conference (CCC) · doi:10.23919/ccc55666.2022.9902510 · Cited by 2

Head Point Positioning and Spatial-Channel Self-Attention Network for Multi-Object Tracking

Zhang, X., Gao, S., Yang, Y., Chu, C., & Zhou, Z. (2022) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr56361.2022.9956665 · Cited by 2

HELOP: Multi-target tracking based on heuristic empirical learning algorithm and occlusion processing

Jia, Y., Zhang, Y., Zhou, C., & Yang, Y. (2023) · Displays · doi:10.1016/j.displa.2023.102488 · Cited by 2

Real-Time Object Localization for Human-Robot Handover

Asghari-Esfeden, S., Strenge, G., Lockwood, K., Bicer, Y., Imbiriba, T., Furmanek, M. P., Yarossi, M. P., Tunik, E., Padır, T., & Deniz Erdogmus, B. (2023) · International Conference on PErvasive Technologies Related to Assistive Environments (PETRA) · doi:10.1145/3594806.3594854 · Cited by 2

AGVS-T22: A New Multiple Object Tracking Dataset for Airport Ground Video Surveillance

Li, T., Zhang, X., Tang, Z., & Liu, Y. (2023) · IEEE International Conference on Intelligent Transportation Systems (ITSC) · doi:10.1109/itsc57777.2023.10421871 · Cited by 2

SMP-Track: SAM in Multi-Pedestrian Tracking

Wang, S., Liu, H., Wang, Q., Zhou, Y., & Yao, Y. (2024) · IEEE International Conference on Data Science and Advanced Analytics (DSAA) · doi:10.1109/dsaa61799.2024.10722829 · Cited by 2

Enhanced Person Tracking with Metric-Based Learning and Diverse Detector Integration (DDI)

Mukherjee, A., & Johnson, D. O. (2024) · IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) · doi:10.1109/uemcon62879.2024.10754754 · Cited by 2

Multi-object tracking with scale-aware transformer and enhanced association strategy

Xiang, X., Zhou, X., Wang, X., Zhai, M., & Saddik, A. E. (2025) · Multimedia Systems · doi:10.1007/s00530-025-01722-8 · Cited by 2

Adaptive and extended trajectory matching for robust multi-target tracking

Wang, S., Guo, X., Deng, L., Sun, G., & Dong, M. (2025) · The Visual Computer · doi:10.1007/s00371-025-03872-2 · Cited by 2

DQFormer: Transformer with Decoupled Query Augmentations for End-to-End Multi-Object Tracking

Huang, Y., Pei, S., & Zeng, R. (2025) · ACM Transactions on Multimedia Computing Communications and Applications · doi:10.1145/3735510 · Cited by 2

Deep learning-based video analysis pipeline for person detection and re-identification in aerial imagery

Specker, A., Moritz, L., & Sommer, L. W. (2021) · Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies · doi:10.1117/12.2600109 · Cited by 3

An Improved Online Multiple Pedestrian Tracking Based on Head and Body Detection

Sun, Z., Chen, J., Mukherjee, M., Wang, H., & Zhang, D. (2021) · International Conference on Mobility, Sensing and Networking (MSN) · doi:10.1109/msn53354.2021.00026 · Cited by 2

An end to end trained hybrid CNN model for multi-object tracking

Singh, D., & Srivastava, R. (2022) · Multimedia Tools and Applications · doi:10.1007/s11042-021-11463-1 · Cited by 2

联合Transformer与BYTE数据关联的多目标实时跟踪算法

Hao, 潘. P., Xiang, 刘. L., Jingwen, 赵. Z., & Xing, 张. Z. (2023) · Laser & Optoelectronics Progress · doi:10.3788/lop220514 · Cited by 2

Compensation Tracker: Reprocessing for Lost ObjectPreprint

Zou, Z., Huang, J., & Luo, P. (2020) · arXiv (Cornell University) · Cited by 2

Localization-Based TrackingPreprint

Gloudemans, D., & Work, D. B. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2104.05823 · Cited by 2

MOTT: A new model for multi-object tracking based on green learning paradigm

Wu, S., Hadachi, A., Lu, C., & Vivet, D. (2023) · AI Open · doi:10.1016/j.aiopen.2023.09.002 · Cited by 3

DETrack: Multi-Object Tracking Algorithm Based on Feature Decomposition and Feature Enhancement

Wen, F., Huang, H., Yin, X., Ma, J., & Hu, X. (2024) · IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences · doi:10.1587/transfun.2023eap1162 · Cited by 1

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

Li, S., Yang, L., Tan, H., Wang, B., Huang, W., Liu, H., Yang, W., & Lan, L. (2024) · Knowledge and Information Systems · doi:10.1007/s10115-024-02237-w · Cited by 2

HistoTrack++: A Vision-Based System for Temporal Bout Segmentation, Multi-Target Tracking and Kinematic Analysis in Overhead Combat Sports Videos

Shanmugasundaramurthi, K. A., Baghel, V., Kirupakaran, A. M., Warburton, J., Srinivasan, R., Hegde, R. S., & Srinivasan, B. (2025) · Journal of Signal Processing Systems · doi:10.1007/s11265-025-01972-9 · Cited by 1

Robust multi-camera tracking in terminal environments: a spatio-temporal-appearance fusion approach

Dang, W., Jian, C., Qian, L., & Huaiyu, Z. (2026) · The Visual Computer · doi:10.1007/s00371-026-04416-y · Cited by 1

Multiple Object Tracking by Joint Head, Body Detection and Re-Identification

Liu, Z., Liu, H., Ren, W., Chang, H., Shi, Y., Lin, R., & Wu, W. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-13841-6_16 · Cited by 1

MWNET: A Tracking Method for Frequently Occluded Scenes Based on Matter Waves

Xu, C., Pei, L., & Zhang, Z. (2022) · Proceedings - International Conference on Image Processing · doi:10.1109/icip46576.2022.9897478 · Cited by 1

Dynamic trajectory quantification strategy for multiple object tracking with feature rearrangement

Zhang, Y., Tian, Q., Liu, T., & Kong, J. (2022) · Journal of Electronic Imaging · doi:10.1117/1.jei.31.6.063025 · Cited by 1

Motion information supplement for joint detection and embedding tracking

Mo, E., Kong, J., Jiang, M., & Liu, T. (2023) · Journal of Electronic Imaging · doi:10.1117/1.jei.32.5.053007 · Cited by 1

Igtracker: task and instance information gaps in multiple object tracking

Liu, J., Kong, J., Jiang, M., & Zhuang, D. (2024) · International Journal of Machine Learning and Cybernetics · doi:10.1007/s13042-024-02182-8 · Cited by 1

Real-time and Intelligent Moving Targets Tracking based on UAV Remote Sensing Video Camera and Brain-like Computing Chips

Hu, K., Wu, Y., Huang, M., Wang, C., Wu, H., Cai, T., Zhang, Q., Wang, S., & Li, B. (2024) · The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences · doi:10.5194/isprs-archives-xlviii-1-2024-235-2024 · Cited by 1

Data-Driven but Privacy-Conscious: Pedestrian Dataset De-Identification via Full-Body Person Synthesis

Maximov, M., Meinhardt, T., Papakipos, Z., Hazırbaş, C., Canton, C., & Leal-Taixé, L. (2024) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/fg59268.2024.10581949 · Cited by 1

Pose Feature Fusion Based Short Track Speed Skaters Multi Object Tracking

Li, Z., Wang, Y., Liu, Y., & Li, H. (2023) · Journal of Computer-Aided Design & Computer Graphics · doi:10.3724/sp.j.1089.2023.19626 · Cited by 1

Online Scene Text Tracking with Spatial-Temporal Relation

Xiu, Y., Zhou, H., Tian, S., & Yin, X.-C. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-87361-5_50 · Cited by 1

Online Multi-Object Tracking with Pose-Guided Object Location and Dual Self-Attention Network

Zhang, X., Wang, S., Yang, Y., Chu, C., & Zhou, Z. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-89370-5_17 · Cited by 1

Pedestrian Tracking Algorithm Combining Contextual Information and Attention Mechanism

Xiao, S., Qiang, Z., Liu, W.-G., & Bao, X. (2021) · American Journal of Computer Science and Technology · doi:10.11648/j.ajcst.20210404.14 · Cited by 1

Attention mechanics for improving online Multi-Object Tracking

Dang, M. C., & Nguyen, D. D. (2022) · Asia Conference on Algorithms, Computing and Machine Learning (CACML) · doi:10.1109/cacml55074.2022.00040 · Cited by 1

Instance-Wise Contrastive Learning for Multi-object Tracking

Luo, Q., & Xu, C. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-18916-6_52 · Cited by 1

DeepScale: An Online Frame Size Adaptation Framework to Accelerate Visual Multi-object Tracking.Preprint

Nalaie, K., & Zheng, R. (2021) · arXiv (Cornell University) · Cited by 1

OTLD：A four-stages visual system for perception of autonomous vehiclesPreprint

Xue, Q., Wang, X., Tu, G., & Wu, J. (2023) · Research Square · doi:10.21203/rs.3.rs-3132840/v1 · Cited by 1

Tuna Nutriment Tracking using Trajectory Mapping in Application to Aquaculture Fish Tank

Pradana, H., & Horio, K. (2020) · International Conference on Digital Image Computing: Techniques and Applications (DICTA) · doi:10.1109/dicta51227.2020.9363387

VVS: Action Recognition With Virtual View Synthesis

Gao, P., Li, Y., Zhu, H., Tang, J., Xia, J., & Lu, C. (2021) · Proceedings - International Conference on Image Processing · doi:10.1109/icip42928.2021.9506258

Weakly-Supervised Multiple Object Tracking Via A Masked Center Point Warping Loss

Yoon, S., Shim, K., Park, K., & Kim, C. (2021) · Proceedings - International Conference on Image Processing · doi:10.1109/icip42928.2021.9506732

MPTS-AFBP: Multi-pedestrian Tracking and Segmentation Based on Anchor-Free Detector

He, X., Cheng, K., & Meng, C. (2021) · International Conference on Pattern Recognition and Artificial Intelligence (PRAI) · doi:10.1109/prai53619.2021.9551053

ParallelMOT: Pay More Attention in Tracking

Lv, C., Shu, C., Lv, Y., & Song, C. (2021) · IEEE International Conference on Computer Science, Artificial Intelligence and Electronic Engineering (CSAIEE) · doi:10.1109/csaiee54046.2021.9543153

Light and fast: multiple object tracking based on light-weight architecture

Su, G., Zhao, H., He, Z., & Sun, Z. (2021) · International Conference on Computer Vision, Image and Deep Learning (CVIDL) · doi:10.1117/12.2604710

An improved unified online multi-object tracking algorithm combined with attention mechanism

Chi, J., Ma, C., & Wu, X. (2021) · Chinese Control and Decision Conference (CCDC) · doi:10.1109/ccdc52312.2021.9602096

Graph Convolutional Network-based Centre-Object Tracking for the multi-dynamic agents for Autonomous Vehicles

Singh, D., & Srivastava, R. (2021) · International Conference on Information Systems and Computer Networks (ISCON) · doi:10.1109/iscon52037.2021.9702417

Re-identification Loss in Combination Spaces for Multiple Object Tracking

Bai, G., & Deng, C. (2022) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr56361.2022.9956281

Dual-Stream Feature Fusion Network for Detection and ReID in Multi-object Tracking

He, Q.-Y., & Li, L. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-20862-1_18

Pedestrian Multi-Objective Tracking Based on Work-Yolo

Yu, F., & Liu, Q. (2022) · IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS) · doi:10.1109/ccis57298.2022.10016319

Study on Pedestrian Multi-Object Tracking Based on Iterative Strategy

孟, 庆. (2023) · Hans Journal of Data Mining · doi:10.12677/hjdm.2023.131008

PreTracker: Using Heatmap Prediction Combined with Feature to Enhance Tracking

Fan, F., He, Z., & Niu, K. (2022) · IEEE International Conference on Computer and Communications (ICCC) · doi:10.1109/iccc56324.2022.10065906

Optimisation of occlusion data based on graph neural networks with joint objectives

Lu, L., Cui, Y., Lu, X., Qiu, J., & Ye, Z. (2022) · International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI) · doi:10.1109/mlbdbi58171.2022.00079

Research on Multi-object Tracking Algorithm Based on Person Recognition and Detection Fusion

Li, J., & Piao, Y. (2023) · International Conference on Consumer Electronics and Computer Engineering (ICCECE) · doi:10.1109/iccece58074.2023.10135488

A Fusion Method Aiming at Environmental Perception of Autonomous Vehicle Based on Visual SchemePreprint

Tu, G., Wang, X., Xue, Q., & Wu, J. (2023) · Research Square · doi:10.21203/rs.3.rs-3159130/v1

Pedestrian Multi-object Tracking Algorithm Based on Attention Feature Fusion

Zhou, Y., Du, Z., & Wang, D. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-43085-5_9

Pedestrian Multi-object Tracking Based on ResNeXt and FairMOT

He, Y., Che, J., & Wu, J. (2023) · Mechanisms and machine science · doi:10.1007/978-3-031-40070-4_15

Multi-vehicle Speed Measurement Based on Monitoring Video Using Improved Multi-object Tracking Algorithm

Gao, X., Gan, Z., Zhuo, S., & Li, T. (2023) · International Conference on Image, Vision and Computing (ICIVC) · doi:10.1109/icivc58118.2023.10269975

Online Geometry Feature Tracker by Adaptive Cascade

Sun, Q., & Chai, L. (2023) · International Symposium on Computer Engineering and Intelligent Communications (ISCEIC) · doi:10.1109/isceic59030.2023.10271112

Block-Matching Multi-pedestrian Tracking

Zhang, C. (2023) · Lecture notes in computer science · doi:10.1007/978-981-99-8067-3_9

TransFiner: A full-scale refinement approach for multiple object tracking

Sun, B. (2023) · ITU Journal on Future and Evolving Technologies · doi:10.52953/clno2409

Cascaded-Scoring Tracklet Matching for Multi-object Tracking

Xie, Y., Wang, H., & Yang, L. (2023) · Lecture notes in computer science · doi:10.1007/978-981-99-8549-4_14

Trades++: Enhancing Multi-Object Tracking of Real Low Confidence Targets Using a Pyramid-Like Self-Attention Model

Wen, C., Gao, Y., & Li, J. (2024) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp48485.2024.10446257

Video Multi-Object Tracking Based on Feature Fusion and Bipartite Graph Matching

Li, Y., Dai, F., Guo, W., & Wang, J. (2023) · China Automation Congress (CAC) · doi:10.1109/cac59555.2023.10451858

Fast Tracking of Players in Volleyball Video Games Using Parallel GMM Algorithm

Salehifar, H., & Shahbazzadeh, P. (2024) · CSI International Symposium on Artificial Intelligence and Signal Processing · doi:10.1109/aisp61396.2024.10475249

An Approach for Multi-Object Tracking with Two-Stage Min-Cost Flow

Li, H., Jiang, Y., Zeng, X., Li, F., & Wang, Z. (2023) · International Conference on High Performance Big Data and Intelligent Systems (HPBD&IS) · doi:10.1109/hdis60872.2023.10499573

MotionFormer: An Improved Transformer-Based Architecture for Multi-object Tracking

Agrawal, H., Halder, A., & Chattopadhyay, P. (2024) · Communications in computer and information science · doi:10.1007/978-3-031-58535-7_18

UniTracker: transformer-based CrossUnihead for multi-object tracking

Wu, F., & Zhang, Y. (2024) · Journal of Real-Time Image Processing · doi:10.1007/s11554-024-01514-9

Real-time deep learning-based object recognition

Vijayalakshmi, V., Gaur, R., & Singh, R. (2024) · AIP conference proceedings · doi:10.1063/5.0217304

Adj-MOT: Multi-object Tracking by ReID with Adjacent Frame Enhancement

Dong, T., Lv, S., Zhao, G., Ying, W., & Tong, C. (2024) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn60899.2024.10650827

Multi-Object Tracking Using Video Sequences with Improved Performance and Reduced Computation Cost

Su, J., Schneider, S. C., & Yaz, E. E. (2024) · IEEE Conference on Control Technology and Applications (CCTA) · doi:10.1109/ccta60707.2024.10666653

Multiple Object Tracking Based On Feature Fusion Of Channel-wise Transformer

Li, Y., & Zhang, Y. (2024) · International Symposium on AI (ISAI) · doi:10.1109/isai63299.2024.00014

DilateTracker: Feature Fusion Dilated Transformer for Multi-object Tracking

Wu, F., & Zhang, Y. (2024) · International Symposium on AI (ISAI) · doi:10.1109/isai63299.2024.00019

Motion Trajectory Reconstruction Based on Feature Matching and Gradient Graph Laplacian Regularizer

Zhang, S., Chen, F., Liu, W., Chen, H., & Zeng, X. (2024) · Lecture notes in computer science · doi:10.1007/978-981-97-8792-0_22

STRTrack: multi-object tracking based on occlusion and trajectory forecasting

Gao, X., Wang, Z., & Zhuang, S. (2024) · Multimedia Tools and Applications · doi:10.1007/s11042-024-20435-0

The Detection and Rectification for Identity-Switch Based on the Unfalsified Control

Huang, J., He, X., Wu, Y., & Zhao, S. (2025) · Communications in computer and information science · doi:10.1007/978-981-96-2684-7_5

Multi-Target Multi-Camera Tracking in Terminal Scene Based on Space-Time-Appearance FeaturesPreprint

Dang, W., Cheng, J., Qian, L., & Huaiyu, Z. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5222720

End-to-End Multiple Object Tracking based on Multi-Frame Regression

Wang, C., Wang, T., Jiang, N., Gu, S., & Lan, L. (2024) · International Conference on Virtual Reality and Visualization · doi:10.1109/icvrv62410.2024.00034

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

Zhang, M., Hou, C., Pang, Y., Shi, J., Zhang, Y., & Huang, X. (2025) · The Journal of Supercomputing · doi:10.1007/s11227-025-07466-6

Multiple Object Tracking in Point Cloud Sequences

Guo, Y., Ao, S., Fu, Z., Liu, H. Y., & Hu, Q. (2026) · Advances in computer vision and pattern recognition · doi:10.1007/978-981-95-0648-4_7

A Multiple Aircraft Tracking Dataset for Airport Traffic Surveillance

Zhang, X., Li, T., Tang, Z., Wang, G., & Huang, R. (2026) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2026.3658559 · Cited by 1

Hypergraph random field model for multiple object tracking in dense scenarios

Zhang, J., Zhang, X., Zhu, Z., & Deng, C. (2026) · Applied Intelligence · doi:10.1007/s10489-025-07063-3

Sentinel for confidence-aware multi-object tracking

Yang, H., Park, S.-W., Sim, C.-B., & Jung, S.-H. (2026) · Scientific Reports · doi:10.1038/s41598-026-43938-2

CCS-Net: a cross-branch contrastive learning network for trajectory prediction with short-term observations

Sun, Y., Liu, H., Chang, F., Liu, C., Li, Q., & Yang, G. (2026) · International Journal of Machine Learning and Cybernetics · doi:10.1007/s13042-026-03064-x

Mixed self-attention network for multi-object tracking with appearance similarity-guided NMS

Liu, Z., Feng, T., Liu, X., & Zhang, X. (2026) · Journal of Visual Communication and Image Representation · doi:10.1016/j.jvcir.2026.104785

RecreTrack: Synergistic Appearance Modeling for RMOT

Xiao, H., Yan, L., & Xia, Y. (2026) · Communications in computer and information science · doi:10.1007/978-981-95-6736-2_5

CueTrack: Weak-Cue-Enhanced and Consistency-Aligned Framework for Robust Multi-Pedestrian Tracking

Liao, L., Wang, J., Lai, S., Zhao, B., Cai, S., & Lu, Z. (2026) · Transportation Research Record Journal of the Transportation Research Board · doi:10.1177/03611981261444352

Looking Beyond Two Frames: End-to-End Multi-Object Tracking Using Spatial and Temporal Transformers

Zhu, T., Hiller, M., Ehsanpour, M., Ma, R., Drummond, T. W., Reid, I. D., & Rezatofighi, H. (2022) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2022.3213073 · Cited by 82

TrackNet: Simultaneous Object Detection and Tracking and Its Application in Traffic Video AnalysisPreprint

Li, C., Dobler, G., Feng, X., & Wang, Y. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1902.01466 · Cited by 20

DiffusionTrack: Diffusion Model for Multi-Object Tracking

Luo, R., Song, Z., Ma, L., Wei, J., Yang, W., & Yang, M. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v38i5.28192 · Cited by 88

TraceNet: A novel modular framework for robust Multi-Object Tracking in crowded and dynamic environments

Khan, S. B. J., Zhang, P., Kamal, M. M., Alharbi, A., Tolba, A. K. R., Sheraz, M., & Chuah, T. C. (2026) · Alexandria Engineering Journal · doi:10.1016/j.aej.2026.01.032 · Cited by 13

Tracking by detection and query: An efficient end-to-end framework for multi-object tracking

Jia, S., Hu, S., Cao, Y., Yang, F., Lu, X., & Lu, X. (2026) · Pattern Recognition · doi:10.1016/j.patcog.2026.113552 · Cited by 7