Research on target detection and tracking algorithm based on YOLOv5+DeepSort

Kangnan Quan; Mingkai Yue; Cong Zhang; Ziqiang Han

doi:10.1117/12.2675280

25 May 2023 Research on target detection and tracking algorithm based on YOLOv5+DeepSort

Kangnan Quan, Mingkai Yue, Cong Zhang, Ziqiang Han

Proceedings Volume 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022); 126361H (2023) https://doi.org/10.1117/12.2675280
Event: Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 2022, Shenyang, China

Abstract

Traditional detection and tracking algorithms have some problems, such as low detection accuracy and weak generalization ability. This paper introduces a detection and tracking algorithm based on YOLOv5+DeepSort. In this model, YOLOv5 algorithm completes target detection, and DeepSort algorithm is used for target tracking. After the model is trained by a certain data set, the algorithm is verified by the video sequence. The experimental results show that the algorithm can detect and track the target very well, achieving the expected goal.

Citation Download Citation

Kangnan Quan, Mingkai Yue, Cong Zhang, and Ziqiang Han "Research on target detection and tracking algorithm based on YOLOv5+DeepSort", Proc. SPIE 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 126361H (25 May 2023); https://doi.org/10.1117/12.2675280

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