Deep learning in video multi-object tracking: A survey

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A survey on deep multimodal learning for computer vision: advances, trends, applications, and datasets

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A survey of sound source localization with deep learning methods

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A Review of Machine Learning and Deep Learning for Object Detection, Semantic Segmentation, and Human Action Recognition in Machine and Robotic Vision

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Quantifying behavior to understand the brain

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Human Memory Update Strategy: A Multi-Layer Template Update Mechanism for Remote Visual Monitoring

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RelationTrack: Relation-Aware Multiple Object Tracking With Decoupled Representation

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A Survey of Multiple Pedestrian Tracking Based on Tracking-by-Detection Framework

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Exploring the association between street built environment and street vitality using deep learning methods

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A review of deep learning-based detection methods for COVID-19

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Enhancing vehicle detection in intelligent transportation systems via autonomous UAV platform and YOLOv8 integration

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Deep learning for pedestrian collective behavior analysis in smart cities: A model of group trajectory outlier detection

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Video Processing Using Deep Learning Techniques: A Systematic Literature Review

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Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook

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Learning a Proposal Classifier for Multiple Object Tracking

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A survey on deep learning-based monocular spacecraft pose estimation: Current state, limitations and prospects

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Sort and Deep-SORT Based Multi-Object Tracking for Mobile Robotics: Evaluation with New Data Association Metrics

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Automatic recognition of feeding and foraging behaviour in pigs using deep learning

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Automated recognition of postures and drinking behaviour for the detection of compromised health in pigs

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Tracking Pedestrian Heads in Dense Crowd

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Deep Learning in Visual Tracking: A Review

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Edge Video Analytics: A Survey on Applications, Systems and Enabling Techniques

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Real-time multiple object tracking using deep learning methods

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Revisiting crowd behaviour analysis through deep learning: Taxonomy, anomaly detection, crowd emotions, datasets, opportunities and prospects

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Machine Learning Methods for Data Association in Multi-Object Tracking

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Integrating GIS, deep learning, and environmental sensors for multicriteria evaluation of urban street walkability

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Automated sewer pipe defect tracking in CCTV videos based on defect detection and metric learning

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Cell segmentation and tracking using CNN-based distance predictions and a graph-based matching strategy

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On-Road Object Detection and Tracking Based on Radar and Vision Fusion: A Review

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Cloud Control System Architectures, Technologies and Applications on Intelligent and Connected Vehicles: a Review

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Unsupervised deep clustering via adaptive GMM modeling and optimization

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Computer Vision Enabled Building Digital Twin Using Building Information Model

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Towards Collaborative Robotics in Top View Surveillance: A Framework for Multiple Object Tracking by Detection Using Deep Learning

Ahmed, I., Din, S., Jeon, G., Piccialli, F., & Fortino, G. (2021) · IEEE/CAA Journal of Automatica Sinica · doi:10.1109/jas.2020.1003453 · Cited by 92

Recent advances of single-object tracking methods: A brief survey

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Moving Target Tracking by Unmanned Aerial Vehicle: A Survey and Taxonomy

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Transformers in Single Object Tracking: An Experimental Survey

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Survey of State-of-Art Autonomous Driving Technologies with Deep Learning

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Automated Tracking Systems for the Assessment of Farmed Poultry

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DEFT: Detection Embeddings for TrackingPreprint

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End-to-End Learning Deep CRF Models for Multi-Object Tracking Deep CRF Models

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A vision-based method for automatic tracking of construction machines at nighttime based on deep learning illumination enhancement

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A systematic review of computer vision-based personal protective equipment compliance in industry practice: advancements, challenges and future directions

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Multi-Object Pedestrian Tracking Using Improved YOLOv8 and OC-SORT

Xiao, X. P., & Feng, X. (2023) · Sensors · doi:10.3390/s23208439 · Cited by 74

A Review of Deep Learning-Based Visual Multi-Object Tracking Algorithms for Autonomous Driving

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Simple Unsupervised Multi-Object TrackingPreprint

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Recent advances in the application of deep learning methods to forestry

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Sequential attention mechanism for weakly supervised video anomaly detection

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Review on Vehicle Detection Technology for Unmanned Ground Vehicles

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MLVSNet: Multi-level Voting Siamese Network for 3D Visual Tracking

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HFNet: Hierarchical feedback network with multilevel atrous spatial pyramid pooling for RGB-D saliency detection

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Target Detection and Recognition for Traffic Congestion in Smart Cities Using Deep Learning-Enabled UAVs: A Review and Analysis

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Detecting, Tracking and Counting People Getting On/Off a Metropolitan Train Using a Standard Video Camera

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Tracking People by Predicting 3D Appearance, Location and Pose

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Two-stage three-way enhanced technique for ensemble learning in inclusive policy text classification

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A survey of detection-based video multi-object tracking

Dai, Y., Hu, Z., Zhang, S., & Liu, L. (2022) · Displays · doi:10.1016/j.displa.2022.102317 · Cited by 59

Real-time neural network inference on extremely weak devices

Huang, K., & Gao, W. (2022) · ACM Annual International Conference on Mobile Computing and Networking (MobiCom) · doi:10.1145/3495243.3560551 · Cited by 63

Artificial intelligence for fish behavior recognition may unlock fishing gear selectivity

Abangan, A. S., Kopp, D., & Faillettaz, R. (2023) · Frontiers in Marine Science · doi:10.3389/fmars.2023.1010761 · Cited by 61

Localization Free Super-Resolution Microbubble Velocimetry Using a Long Short-Term Memory Neural Network

Chen, X., Lowerison, M. R., Dong, Z., Sekaran, N. V. C., Huang, C., Chen, S., Fan, T. M., Llano, D. A., & Song, P. (2023) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2023.3251197 · Cited by 64

Multi-object tracking review: retrospective and emerging trend

Guan, Z., Wang, Z., Zhang, G., Li, L., Zhang, M., Shi, Z., & Jiang, N. (2025) · Artificial Intelligence Review · doi:10.1007/s10462-025-11212-y · Cited by 63

Revolutionizing optical imaging: computational imaging via deep learning

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A Multi-Class Multi-Movement Vehicle Counting Framework for Traffic Analysis in Complex Areas Using CCTV Systems

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GCNNMatch: Graph Convolutional Neural Networks for Multi-Object Tracking via Sinkhorn NormalizationPreprint

Papakis, I., Sarkar, A., & Karpatne, A. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2010.00067 · Cited by 58

Multiple Object Tracking in Deep Learning Approaches: A Survey

Park, Y., Dang, L. M., Lee, S., Han, D., & Moon, H. (2021) · Electronics · doi:10.3390/electronics10192406 · Cited by 62

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

Zhang, L., Gao, J., Xiao, Z., & Fan, H. (2022) · International Journal of Computer Vision · doi:10.1007/s11263-022-01711-8 · Cited by 65

Physics-Informed Supervised Residual Learning for Electromagnetic Modeling

Shan, T., Zeng, J., Song, X., Guo, R., Li, M., Yang, F., & Xu, S. (2023) · IEEE Transactions on Antennas and Propagation · doi:10.1109/tap.2023.3245281 · Cited by 58

Deep Learning for Real-Time 3D Multi-Object Detection, Localisation, and Tracking: Application to Smart Mobility

Mauri, A., Khemmar, R., Decoux, B., Ragot, N., Rossi, R., Trabelsi, R., Boutteau, R., Ertaud, J.-Y., & Savatier, X. (2020) · Sensors · doi:10.3390/s20020532 · Cited by 61

TAU: A framework for video-based traffic analytics leveraging artificial intelligence and unmanned aerial systems

Benjdira, B., Koubâa, A., Azar, A. T., Khan, Z., Ammar, A., & Boulila, W. (2022) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2022.105095 · Cited by 56

Autonomous Driving with Deep Learning: A Survey of State-of-Art TechnologiesPreprint

Huang, Y., & Chen, Y. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2006.06091 · Cited by 84

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

Suljagic, H., Bayraktar, E., & Çelebi, N. (2022) · Neural Computing and Applications · doi:10.1007/s00521-022-07456-2 · Cited by 54

Recognition of pedestrian trajectories and attributes with computer vision and deep learning techniques

Wong, P. K.-Y., Luo, H., Wang, M., Leung, P. H., & Cheng, J. C. P. (2021) · Advanced Engineering Informatics · doi:10.1016/j.aei.2021.101356 · Cited by 53

Near-Field Perception for Low-Speed Vehicle Automation Using Surround-View Fisheye Cameras

Eising, C., Horgan, J., & Yogamani, S. K. (2021) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2021.3127646 · Cited by 58

Few-Shot Learning for Deformable Medical Image Registration With Perception-Correspondence Decoupling and Reverse Teaching

He, Y., Li, T., Ge, R., Yang, J., Kong, Y., Zhu, J., Shu, H., Yang, G., & Li, S. (2021) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2021.3095409 · Cited by 52

A survey of unmanned aerial vehicles and deep learning in precision agriculture

Wang, D., Zhao, M., Li, Z., Xu, S., Wu, X., Ma, X., & Liu, X. (2024) · European Journal of Agronomy · doi:10.1016/j.eja.2024.127477 · Cited by 57

Sugeno integral generalization applied to improve adaptive image binarization

Bardozzo, F., de la Osa, B., Horanská, Ľ., Fumanal-Idocin, J., Priscoli, M. D., Troiano, L., Tagliaferri, R., Fernández, J., & Bustince, H. (2020) · Information Fusion · doi:10.1016/j.inffus.2020.10.020 · Cited by 52

Self-Supervised Small Soccer Player Detection and Tracking

Hurault, S., Ballester, C., & Haro, G. (2020) · ACM International Workshop on Multimedia Content Analysis in Sports (MMSports) · doi:10.1145/3422844.3423054 · Cited by 54

A Multi-Camera Vehicle Tracking System based on City-Scale Vehicle Re-ID and Spatial-Temporal Information

Wu, M., Qian, Y., Wang, C., & Yang, M. Z. (2021) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw53098.2021.00460 · Cited by 52

Inflated 3D ConvNet context analysis for violence detection

Freire-Obregón, D., Barra, P., Castrillón-Santana, M., & Marsico, M. D. (2021) · Machine Vision and Applications · doi:10.1007/s00138-021-01264-9 · Cited by 50

Opportunities and challenges for deep learning in cell dynamics research

Chai, B., Efstathiou, C., Yue, H., & Draviam, V. M. (2023) · Trends in Cell Biology · doi:10.1016/j.tcb.2023.10.010 · Cited by 56

An Accurate and Fast Animal Species Detection System for Embedded Devices

Ibraheam, M., Li, K. F., & Gebali, F. (2023) · IEEE Access · doi:10.1109/access.2023.3252499 · Cited by 48

GMOT-40: A Benchmark for Generic Multiple Object Tracking

Bai, H., Cheng, W., Chu, P., Liu, J., Zhang, K., & Ling, H. (2021) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr46437.2021.00665 · Cited by 46

Self-supervised Multi-view Multi-Human Association and Tracking

Gan, Y., Han, R., Yin, L., Feng, W., & Wang, S. (2021) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3474085.3475177 · Cited by 47

Recent Advances in Video Analytics for Rail Network Surveillance for Security, Trespass and Suicide Prevention—A Survey

Zhang, T., Aftab, W., Mihaylova, L., Langran-Wheeler, C., Rigby, S. E., Fletcher, D. I., Maddock, S., & Bosworth, G. (2022) · Sensors · doi:10.3390/s22124324 · Cited by 46

A review of three dimensional reconstruction techniques

Phang, J. T. S., Lim, K. H., & Chiong, C. W. R. (2021) · Multimedia Tools and Applications · doi:10.1007/s11042-021-10605-9 · Cited by 45

A Multi-Object Tracking Algorithm With Center-Based Feature Extraction and Occlusion Handling

Cao, Z., Li, J., Zhang, D., Zhou, M., & Abusorrah, A. M. (2022) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2022.3229978 · Cited by 45

Modern Image-Guided Surgery: A Narrative Review of Medical Image Processing and Visualization

Lin, Z., Lei, C., & Yang, L. (2023) · Sensors · doi:10.3390/s23249872 · Cited by 45

A Vehicle Counts by Class Framework using Distinguished Regions Tracking at Multiple Intersections

Bui, K. N., Yi, H., & Cho, J.-H. (2020) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw50498.2020.00297 · Cited by 45

Deep Learning-Based Computer Vision for Surveillance in ITS: Evaluation of State-of-the-Art Methods

Xie, J., Zheng, Y., Du, R., Xiong, W., Cao, Y., Ma, Z., Cao, D., & Guo, J. H. (2021) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2021.3065250 · Cited by 45

A turnaround control system to automatically detect and monitor the time stamps of ground service actions in airports: A deep learning and computer vision based approach

Yıldız, S., Aydemir, O., Memiş, A., & Varlı, S. (2022) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2022.105032 · Cited by 47

Anomalous Event Recognition in Videos Based on Joint Learning of Motion and Appearance with Multiple Ranking Measures

Dubey, S., Boragule, A., Gwak, J., & Jeon, M. (2021) · Applied Sciences · doi:10.3390/app11031344 · Cited by 44

EmbedTrack—Simultaneous Cell Segmentation and Tracking Through Learning Offsets and Clustering Bandwidths

Löffler, K., & Mikut, R. (2022) · IEEE Access · doi:10.1109/access.2022.3192880 · Cited by 44

A Region-Based Deep Learning Approach to Automated Retail Checkout

Shoman, M., Aboah, A., Morehead, A., Duan, Y., Daud, A., & Adu-Gyamfi, Y. O. (2022) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw56347.2022.00362 · Cited by 46

Deep learning-based for human segmentation and tracking, 3D human pose estimation and action recognition on monocular video of MADS dataset

Le, V.-H. (2022) · Multimedia Tools and Applications · doi:10.1007/s11042-022-13921-w · Cited by 40

Gaussian-response correlation filter for robust visual object tracking

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