Target tracking algorithm based on YOLOv3 and ASMS

Lv Chen; Cheng Deqiang; Kou Qiqi; Zhuang Huandong; Li Haixiang

doi:10.12086/oee.2021.200175

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Feb 2021

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JOURNAL OF MECHANICAL ENGINEERING > 2021 > 48(2): 200175.

Lv Chen, Cheng Deqiang, Kou Qiqi, Zhuang Huandong, Li Haixiang. Target tracking algorithm based on YOLOv3 and ASMS[J]. JOURNAL OF MECHANICAL ENGINEERING, 2021, 48(2): 200175. doi: 10.12086/oee.2021.200175

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Lv Chen, Cheng Deqiang, Kou Qiqi, Zhuang Huandong, Li Haixiang. Target tracking algorithm based on YOLOv3 and ASMS[J]. JOURNAL OF MECHANICAL ENGINEERING, 2021, 48(2): 200175. doi: 10.12086/oee.2021.200175

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Target tracking algorithm based on YOLOv3 and ASMS

doi: 10.12086/oee.2021.200175

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National Natural Science Foundation of China 51774281

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Corresponding author: Lv Chen, E-mail: 286562685@qq.com
Received Date: 18 May 2020
Rev Recd Date: 24 Sep 2020

Abstract

Abstract

In order to solve the problem of loss when the target encounters occlusion or the speed is too fast during the automatic tracking process, a target tracking algorithm based on YOLOv3 and ASMS is proposed. Firstly, the target is detected by the YOLOv3 algorithm and the initial target area to be tracked is determined. After that, the ASMS algorithm is used for tracking. The tracking effect of the target is detected and judged in real time. Repositioning is achieved by quadratic fitting positioning and the YOLOv3 algorithm when the target is lost. Finally, in order to further improve the efficiency of the algorithm, the incremental pruning method is used to compress the algorithm model. Compared with the mainstream algorithms, experimental results show that the proposed algorithm can solve the lost problem when the tracking target is occluded, improving the accuracy of target detection and tracking. It also has advantages of low computational complexity, time-consuming, and high real-time performance.
- target tracking,
- target loss,
- you look only once v3,
- model pruning,
- robust scale-adaptive mean-shift

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References

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Target tracking algorithm based on YOLOv3 and ASMS

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