Deep learning in video multi-object tracking: A survey

Deep Residual Learning for Image Recognition

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Going deeper with convolutions

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ImageNet Large Scale Visual Recognition Challenge

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Support-Vector Networks

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Histograms of Oriented Gradients for Human Detection

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Fusing Faster R-CNN and Background Subtraction Based on the Mixture of Gaussians Model

Ferariu, L. E., & Chile, C.-F. (2020) · International Conference on System Theory, Control and Computing (ICSTCC) · doi:10.1109/icstcc50638.2020.9259640 · Cited by 4

Performance Analysis of Deep Learning Inference in Convolutional Neural Networks on Intel Cascade Lake CPUs

Vasiliev, E., Кустикова, В. Д., Volokitin, V., Александрович, К. Е., & Meyerov, I. B. (2021) · Communications in computer and information science · doi:10.1007/978-3-030-78759-2_29 · Cited by 4

Semi-supervised generative adversarial networks for anomaly detection

Montenegro, J., & Chung, Y. (2022) · SHS Web of Conferences · doi:10.1051/shsconf/202213201016 · Cited by 4

Rev: A Video Engine for Object Re-identification at the City Scale

Xu, T., Shen, K., Fu, Y. L., Shi, H., & Lin, F. X. (2022) · IEEE/ACM Symposium on Edge Computing (SEC) · doi:10.1109/sec54971.2022.00022 · Cited by 4

Easy Rocap: A Low-Cost and Easy-to-Use Motion Capture System for Drones

Wang, H., Chen, C., He, Y., Sun, S., Li, L., Xu, Y., & Yang, B. (2024) · Drones · doi:10.3390/drones8040137 · Cited by 4

Estimation of Lane-Level Traffic Flow Using a Deep Learning Technique

Liu, C.-M., & Juang, J. (2021) · Applied Sciences · doi:10.3390/app11125619 · Cited by 5

Scale-Insensitive Object Detection via Attention Feature Pyramid Transformer Network

Li, L., Zheng, C., Mao, C., Deng, H., & Jin, T. (2021) · Neural Processing Letters · doi:10.1007/s11063-021-10645-0 · Cited by 4

Real-Time Object Behavior Prediction Based on LiDAR Suitable for Urban Autonomous Driving

Jeong, J., & Kee, S.-C. (2022) · Transactions of Korean Society of Automotive Engineers · doi:10.7467/ksae.2022.30.7.589 · Cited by 4

From a Visual Scene to a Virtual Representation: A Cross-Domain Review

Pereira, A., Carvalho, P., Pereira, N., Viana, P., & Côrte-Real, L. (2023) · IEEE Access · doi:10.1109/access.2023.3283495 · Cited by 6

Towards in-store multi-person tracking using head detection and track heatmapsPreprint

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Deep learning-based video analysis for visitor detection and tracking in protected areas

Moreno, H., Gómez, A., & Andújar, D. (2025) · Journal of Outdoor Recreation and Tourism · doi:10.1016/j.jort.2025.100890 · Cited by 3

Engineering an efficient object tracker for nonlinear motion

Adžemović, M., Tadic, P. R., Petrović, A., & Nikolić, M. (2025) · The Visual Computer · doi:10.1007/s00371-025-04243-7 · Cited by 3

Moving vehicles tracking from satellite video data based on spatiotemporal high-order relation learning and reasoning

Feng, Z., Zhang, X., Zhou, B., Ren, M., & Zhi, X. (2025) · International Journal of Applied Earth Observation and Geoinformation · doi:10.1016/j.jag.2025.105015 · Cited by 3

Surveillance to self-driving: a comprehensive review of object detection and tracking paradigms

Das, P., Jain, C., & Gola, K. K. (2026) · Iran Journal of Computer Science · doi:10.1007/s42044-025-00387-w · Cited by 4

Glare-Aware Resi-YOLO: Tiny-Vessel Detection with Dual-Brain Edge Deployment for Maritime UAVs

Tsai, S.-E., & Hsieh, C.-H. (2026) · Drones · doi:10.3390/drones10030226 · Cited by 3

Tracking People in Video Using Neural Network Features and Facial Identification Taking into Account the Mask Mode

Ye, S., Kurnosov, I., Bohush, R. P., Ma, G., Weichen, Y., & Ablameyko, S. (2023) · Pattern Recognition and Image Analysis · doi:10.1134/s1054661823020177 · Cited by 3

Evolution of Winning Solutions in the 2021 Low-Power Computer Vision Challenge

Hu, X., Jiao, Z., Kocher, A., Wu, Z., Liu, J., Davis, J. C., Thiruvathukal, G. K., & Lu, Y.-H. (2023) · Computer · doi:10.1109/mc.2023.3250246 · Cited by 3

Efficient-YOLOv8: Multi-Scale ConvNet for Underwater Object Detection

Xu, L., Fitriyah, H., Styan, C. A., & Lee, I. (2023) · International Conference on Sustainable Information Engineering and Technology (SIET) · doi:10.1145/3626641.3627016 · Cited by 3

Siamese Tracking Network with Multi-attention Mechanism

Xu, Y., Li, T., Zhu, B., Wang, F., & Sun, F. (2024) · Neural Processing Letters · doi:10.1007/s11063-024-11670-5 · Cited by 3

Multiple Object Tracking Incorporating a Person Re-Identification Using Polynomial Cross Entropy Loss

Huang, S.-K., Hsu, C.-C. J., & Wang, W. (2024) · IEEE Access · doi:10.1109/access.2024.3455348 · Cited by 3

A data fusion-based method for pedestrian detection and flow statistics across different crowd densities

Wang, R., Gao, H., & Liu, Y. (2024) · Journal of Safety Science and Resilience · doi:10.1016/j.jnlssr.2024.07.004 · Cited by 3

Image Segmentation Refinement Based on Region Expansion and Minor Contour Adjustments

Yan, L., Zhang, X., Wang, K., Xiong, S., & Zhang, D. (2025) · IET Image Processing · doi:10.1049/ipr2.70017 · Cited by 3

Multi-object detection and tracking algorithm for fry counting based on DV-YOLO and FryMOT

Yuan, H., Yu, Z., Li, Q., Fu, T., & Zheng, B. (2025) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp49660.2025.10890712 · Cited by 3

Automatic Vehicle Detection and Tracking using Cascade Classifiers and CNN-based Multi-scale Feature Extraction

Barbu, T., Bejinariu, S.-I., & Luca, R. (2024) · Advanced Topics on Measurement and Simulation (ATOMS) · doi:10.1109/atoms60779.2024.10921545 · Cited by 3

CBI-YOLO: a lightweight weld detection and evaluation scheme for metal roofs in terminal buildings

Bai, J., Yu, W., Cai, C. S. S., Xin, Z., Lin, X., Huang, Z., & Ke, Z. (2025) · Engineering Research Express · doi:10.1088/2631-8695/ae040d · Cited by 3

Limitation of acyclic oriented graphs matching as cell tracking accuracy measure when evaluating mitosis

Chen, Y., & Huo, Y. (2021) · SPIE Medical Imaging: Image Perception, Observer Performance, and Technology Assessment · doi:10.1117/12.2581012 · 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

An Outlook of Medical Image Analysis via Transfer Learning Approaches

Raju, M. S. N., & Rao, B. S. (2022) · Traitement du signal · doi:10.18280/ts.390502 · Cited by 5

Object Extraction Algorithm for the First-Frame Image of Unmanned Surface Vehicles Based on a Radar-Photoelectric System

Yu, Q., Su, Y., & Zhang, R. (2023) · Journal of Marine Science and Engineering · doi:10.3390/jmse11020344 · Cited by 3

Hector: A Reinforcement Learning-based Scheduler for Minimizing Casualties of a Military Drone Swarm

Jin, H., Liu, Q., Li, C., Hou, Y. T., Lou, W., & Kompella, S. (2022) · IEEE Military Communications Conference (MILCOM) · doi:10.1109/milcom55135.2022.10017716 · Cited by 3

Label-Free Mammalian Cell Tracking Enhanced by Precomputed Velocity Fields

Han, Y., Yang, L., Shkolnikov, V., Xin, D., Barcelo, S. J., Allebach, J. P., & Delp, E. J. (2022) · International Conference on Machine Learning and Applications · doi:10.1109/icmla55696.2022.00057 · Cited by 3

A Comprehensive Analysis on Unconstraint Video Analysis Using Deep Learning Approaches

Bhushanam, P. N., & Selva Kumar, S. (2023) · International Conference on Edge Computing and Applications (ICECAA) · doi:10.1109/icecaa58104.2023.10212227 · Cited by 3

Novel learning framework for optimal multi-object video trajectory tracking

Chen, S., Hu, X., Jiang, W., Zhou, W. J., & Ding, X. (2023) · Virtual Reality & Intelligent Hardware · doi:10.1016/j.vrih.2023.04.001 · Cited by 3

CenterTrack3D: Improved CenterTrack More Suitable for Three-Dimensional Objects

Gu, L., Sun, S., Liu, X., & Li, X. (2021) · Journal of Autonomous Vehicles and Systems · doi:10.1115/1.4050863 · Cited by 3

From Certain to Uncertain: Toward Optimal Solution for Offline Multiple Object Tracking

Zhao, K., Imaseki, T., MOURI, H., Suzuki, E., & Matsukawa, T. (2021) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr48806.2021.9413215 · 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

Reprint of: Vibration sensing-based human and infrastructure safety/health monitoring: A survey

Valero, M., Li, F., Zhao, L., Zhang, C., Garrido, J. M., & Han, Z. (2022) · Digital Signal Processing · doi:10.1016/j.dsp.2022.103572 · Cited by 4

Toward Pervasive Computer Vision for Intelligent Transport System

Leone, G. R., Carboni, A., Nardi, S., & Moroni, D. (2022) · IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) · doi:10.1109/percomworkshops53856.2022.9767376 · Cited by 3

Unsupervised and Adaptive Perimeter Intrusion Detector

Lohani, D., Crispim-Junior, C. F., Barthélemy, Q., Bertrand, S., Robinault, L., & Tougne, L. (2022) · Proceedings - International Conference on Image Processing · doi:10.1109/icip46576.2022.9897472 · Cited by 3

Real-time Multiple Objects Following Using a UAV

Liu, J., & Yao, Y. (2023) · AIAA SciTech Forum · doi:10.2514/6.2023-1143 · Cited by 3

DRSU-net: Depth-Residual Separable U-net model for Semantic Segmentation

Arbane, M., Khanouche, M. E., Khodabandelou, G., Chibani, A., & Amirat, Y. (2023) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn54540.2023.10191106 · Cited by 3

An Industrial Distributed Network of Intelligent Robotic Security Guards Based on the Internet of Robotic Things Paradigm

Antenucci, A., Brancati, A., Mazzaro, S., Bastianelli, G., Rovella, R., Massa, A., & Matta, W. (2021) · International Conference on Computer, Control and Robotics (ICCCR) · doi:10.1109/icccr49711.2021.9349276 · Cited by 3

Online multitarget tracking system for autonomous vehicles using discriminative dictionary learning with embedded auto‐encoder algorithm

Gu, X., & Jiang, Y. (2022) · Software Practice and Experience · doi:10.1002/spe.3089 · Cited by 3

Multi-target tracking for video surveillance using deep affinity network: A brief reviewPreprint

Mangi, S. N. (2022) · doi:10.31219/osf.io/auhr2 · Cited by 3

Development of deep multi-animal tracking for domestic cats toward future application to social behavior analysis

Nakajima, N., Koyasu, H., Maruno, Y., Nagasawa, M., Kikusui, T., & Kubo, T. (2024) · Advanced Robotics · doi:10.1080/01691864.2024.2384423 · Cited by 2

Efficient transformer tracking with adaptive attention

Xiao, D., Wei, Z., & Zhang, G. (2024) · IET Computer Vision · doi:10.1049/cvi2.12315 · Cited by 2

SatSORT: Online multi-spacecraft visual tracking algorithm

Liu, Y., Zhang, S., Li, H., & Zhang, C. (2025) · Acta Astronautica · doi:10.1016/j.actaastro.2025.02.027 · Cited by 2

A variational causal inference-based method for recognizing object state changes in videos

Wang, Z., Ge, W., Huang, S., & Li, M. (2026) · Multimedia Systems · doi:10.1007/s00530-025-02185-7 · Cited by 2

PhysTrack: Physics-driven multi-AUV tracking from UAV imagery via pose estimation and dynamic state inference

Zhu, J., Cai, W., Zhang, M., Wu, W., Ma, Y., & Mo, Y. (2026) · Ocean Engineering · doi:10.1016/j.oceaneng.2026.125692 · Cited by 2

PigTracker: Sequential-vertices-based tracking framework for intelligent pig farming

Lin, W., He, X., Li, Z., Zeng, Z., Liu, Y., Lyu, E., & Huang, J. (2026) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2026.111829 · Cited by 2

AuxTrack: Auxiliary Detection and Spatio-Temporal Attention Matching for Robust Multi-Object Tracking

Jiang, X., Ou, Z., Zong, P., Song, M., Zhao, S., & Zhu, Y. (2026) · Human-Centric Intelligent Systems · doi:10.1007/s44230-026-00156-3 · Cited by 2

COMPREHENSIVE ANALYSIS OF METHODS AND TOOLS FOR HYBRID IMAGE ANNOTATION IN COMPUTER VISION SYSTEMS

Kuchapin, M., Smelyakov, K., Chupryna, A., & Luchenko, S. (2026) · Management Information System and Devises · doi:10.30837/0135-1710.2026.189.182 · Cited by 2

RSSI-Based Location Classification Using a Particle Filter to Fuse Sensor Estimates

Blazek, T., Karoliny, J., Ademaj, F., & Bernhard, H.-P. (2021) · IEEE International Workshop on Factory Communication Systems (WFCS) · doi:10.1109/wfcs46889.2021.9483598 · Cited by 2

A Preliminary Study on AI for Telemetry Data Compression

Ciaparrone, G., Benedetto, V., & Gissi, F. (2023) · Lecture notes in networks and systems · doi:10.1007/978-3-031-30396-8_12 · Cited by 2

Semantic Programming for Device-Edge-Cloud Continuum

Le-Tuan, A., Bowden, D., & Le-Phuoc, D. (2023) · IEEE International Conference on Network Protocols (ICNP) · doi:10.1109/icnp59255.2023.10355630 · Cited by 2

Online Allocation of Sensing and Computation in Large Graphs

Li, X., Karakas, M., Hanna, O. A., Kiamari, M., Coleman, J., Fragouli, C., Krishnamachari, B., & Verma, G. (2023) · IEEE International Conference on Collaboration and Internet Computing (CIC) · doi:10.1109/cic58953.2023.00014 · Cited by 2

Video Analytics for Understanding Pedestrian Mobility Patterns in Public Spaces: The Case of Milan

Lorgna, L., Ceccarelli, G., Gorrini, A., & Ciavotta, M. (2024) · Collective Dynamics · doi:10.17815/cd.2024.172 · Cited by 2

Comparative study of Kalman filter-based target motion analysis by incorporating Doppler frequency measurements

Haq, E. U., Nasir, H. A., Iqbal, A., & Qadir, M. A. (2021) · International Journal on Smart Sensing and Intelligent Systems · doi:10.21307/ijssis-2021-008 · Cited by 2

Visual MAV Tracker with Adaptive Search Region

Park, W., Lee, D., Yi, J., & Nam, W. (2021) · Applied Sciences · doi:10.3390/app11167741 · Cited by 2

A Fast and Accurate Approach to Multiple-Vehicle Localization and Tracking from Monocular Aerial Images

Tøttrup, D., Skovgaard, S. L., Sejersen, J. L. F., & de Figueiredo, R. P. (2021) · Journal of Imaging · doi:10.3390/jimaging7120270 · Cited by 2

Multi-object tracking for road surveillance without using features of image data

Kishi, N., Shinkuma, R., Oka, M., Sato, T., & Oki, E. (2021) · Globecom · doi:10.1109/globecom46510.2021.9686010 · Cited by 2

No-Reference Image Quality Assessment based on Quality Awareness Feature and Multi-task Training

Lai, L., Chu, J. H., & Leng, L. (2022) · Journal of Multimedia Information System · doi:10.33851/jmis.2022.9.2.75 · Cited by 2

Fully Deep Simple Online Real-time Tracking: Efficient Re-Identification by Attention without Explicit Similarity Learning

Belmouhcine, A., Simon, J., Courtrai, L., & Lefèvre, S. (2022) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr56361.2022.9956283 · Cited by 2

Human Detection and Tracking Based on YOLOv3 and DeepSORT

Tyagi, B., Nigam, S., & Singh, R. K. (2023) · Lecture notes in networks and systems · doi:10.1007/978-981-99-2100-3_11 · Cited by 2

Robust pedestrian tracking in video sequences using an improved STF module

Yang, H., Tang, Y., Yu, W., Li, X., & Zhang, P. (2023) · Complex & Intelligent Systems · doi:10.1007/s40747-023-01224-y · Cited by 2

Investigation of a Spike Segment Neuron in the Offline Multi-Object Tracking Task with Embeddings Constructed by a Convolutional Network

Сергеевич, Ф. И., Михайлович, К. А., Ivanova, V., & Валерьевич, Б. А. (2023) · Studies in computational intelligence · doi:10.1007/978-3-031-44865-2_37 · Cited by 2

Deep Hierarchical Rear‐Lamp Tracking at Nighttime

Sun, H., Chen, W., Zhang, C., & Zhang, Z. (2023) · IEEJ Transactions on Electrical and Electronic Engineering · doi:10.1002/tee.23951 · Cited by 2

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

Skin feature point tracking using deep feature encodings

Chang, J. R., & Nordling, T. E. M. (2024) · International Journal of Machine Learning and Cybernetics · doi:10.1007/s13042-024-02405-y · Cited by 2

A Shallow Approach for Vehicle Speed Estimation in Urban Areas Using YOLO, GOG, and a MLP

Vela, F., Fonseca-Delgado, R., & Pineda, I. (2024) · IEEE Ecuador Technical Chapters Meeting (ETCM) · doi:10.1109/etcm63562.2024.10746120 · Cited by 2

Evaluation Method for Artificial Reefs Based on Multi-Object Tracking

Wu, Z., Song, Y., Cui, X., Zhang, S., Quan, W., Shi, Y., Xiong, X., & Li, P. (2025) · Journal of Marine Science and Engineering · doi:10.3390/jmse13030471 · Cited by 2

Multi-person pose tracking with occlusion solving using motion models

Gamez, L., Yoshiyasu, Y., & Yoshida, E. (2021) · IEEE/SICE International Symposium on System Integration (SII) · doi:10.1109/ieeeconf49454.2021.9382612 · Cited by 2

LSTM based video stabilization for object tracking

Yang, C., He, Y., & Zhang, D. (2021) · AOPC 2021: Optical Sensing and Imaging Technology · doi:10.1117/12.2606941 · Cited by 2

Research on Specific Long-term Single Object Tracking Algorithms in the Context of Traffic

Wei, Y., Hua, Y., & Xiang, W. (2022) · Procedia Computer Science · doi:10.1016/j.procs.2022.11.179 · Cited by 2

SSTNet: Saliency sparse transformers network with tokenized dilation for salient object detection

Yang, M. Y., Liu, Z., Dong, W., & Wu, Y. N. (2023) · IET Image Processing · doi:10.1049/ipr2.12895 · Cited by 2

Examination of Object Tracking Studies using Deep Learning: A Bibliometric Analysis Study

Ay, S., Karabatak, S., & Karabatak, M. (2024) · International Symposium on Digital Forensics and Security (ISDFS) · doi:10.1109/isdfs60797.2024.10527335 · Cited by 2

End-to-End Multiple Object Tracking with Siamese Networks

Qin, J., Huang, C., & Xu, J. (2021) · Communications in computer and information science · doi:10.1007/978-3-030-92310-5_65 · Cited by 2

End to End Multi-object Tracking Algorithm Applied to Vehicle Tracking

Qin, W., Du, H., Zhang, X., & Ren, X. (2022) · Asia Conference on Algorithms, Computing and Machine Learning (CACML) · doi:10.1109/cacml55074.2022.00068 · Cited by 2

Labor exploitation investigation using statistical and multiple object tracking assessment methods

Karthikeyan, P., Chang, C. C., & Hsiung, P. (2023) · Multimedia Tools and Applications · doi:10.1007/s11042-023-16094-2 · Cited by 2

Compensation Tracker: Reprocessing for Lost ObjectPreprint

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

Probabilistic object tracking by low power microcontrollers

Büyükeşmeli, H., Maşazade, E., & Ünsalan, C. (2021) · Journal of Real-Time Image Processing · doi:10.1007/s11554-021-01139-2 · Cited by 1

Fault detection system for paper cup machine based on real-time image processing

Aydın, A., & Güney, S. (2024) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2024.108070 · Cited by 1

Deep Learning-Based Cell Tracking in Deforming Organs and Moving Animals

Wen, C. (2024) · Methods in molecular biology · doi:10.1007/978-1-0716-3834-7_14 · Cited by 1

Adaptive Real-Time Tracking of Molten Metal Using Multi-Scale Features and Weighted Histograms

Lei, Y., & Xu, D. (2024) · Electronics · doi:10.3390/electronics13152905 · Cited by 1

A Moving Object Tracking in Video Sequences Using Finite Memory Structure Filter

Kim, P. S. (2024) · International Conference on Ubiquitous and Future Networks · doi:10.1109/icufn61752.2024.10625095 · Cited by 1

Biological Cell Tracking via Multi-Agent Identification and Filtering

Tramaloni, A., Testa, A. C., Avnet, S., Baldini, N., & Notarstefano, G. (2024) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc56724.2024.10886309 · Cited by 1

Lossless Intrinsic Image Decomposition via Learning Shading Feature Filtering

Sha, H., Han, Y., Xiao, Y., Liu, T., Liu, Y., & Song, W. (2025) · Computational Visual Media · doi:10.26599/cvm.2025.9450378 · Cited by 1

Smart Hardware for Human-Based Multi-Object Detection on Cyber Physical System under IIOT-4.0

Bindal, A. K., Mangla, N., Mangla, A., & Singh, C. (2024) · International Conference on Emerging Technologies and Innovation for Sustainability (EmergIN) · doi:10.1109/emergin63207.2024.10961396 · Cited by 1

Kalman-YOLO Improving YOLO Tracking Performance through the Integration of a Kalman Filter for a Beach Cleaning Robot

Yatigul, R., Tan, C. J., Prem, G., & Hayashi, E. (2025) · Proceedings of International Conference on Artificial Life and Robotics · doi:10.5954/icarob.2025.os11-3 · Cited by 1

Discrete wavelet transform-based video processing using FPGA applicable for object detection

Sharma, M., Kaswan, K. S., & Yadav, D. K. (2025) · Infrared Physics & Technology · doi:10.1016/j.infrared.2025.106044 · Cited by 1

A lightweight pedestrian multi-proposal trajectory prediction method based on dynamic scene information module

Zhang, F., Leong, L. V., & Yen, K. S. (2025) · Measurement · doi:10.1016/j.measurement.2025.119076 · Cited by 1

Research on UAV dynamic frame rate adaptation and multi-feature fusion network optimization in intelligent monitoring of animal husbandry

Luo, W., Li, L., Luo, X., Shao, Q., Tang, R., Liu, K., Li, X., Liu, X., Wang, Q., Ren, D., et al. (2025) · PLoS ONE · doi:10.1371/journal.pone.0331850 · Cited by 1

A Survey of Single Object Tracking

Ke, H., Zhang, Z., Chen, J., & Kou, Y. (2025) · International Conference on Electronic Communication and Artificial Intelligence (ICECAI) · doi:10.1109/icecai66283.2025.11171188 · Cited by 1

A novel color marker-based target tracking and motion intent detection method

Wang, Z., Zhou, L., Tang, S., & Wang, J. (2025) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2025.112876 · Cited by 1

Target Tracking with Adaptive Morphological Correlation and Neural Predictive Modeling

Diaz-Ramirez, V. H., & Gaxiola, L. N. (2025) · Applied Sciences · doi:10.3390/app152111406 · Cited by 1

Automated Wildlife Monitoring for Animal Detection using CNN and Bi-GRU

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