Real-time infrared multi-class multi-target anchor-free tracking network

被引：0
|
作者：
Song Z. [1 ]
Yang J. [1 ]
Zhang D. [1 ]
Wang S. [1 ]
Zhang S. [1 ]
机构：
[1] Beijing Institute of Remote Sensing Equipment, Beijing
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2022年 / 44卷 / 02期
关键词：
Anchor-free; Infrared target; Multi-class; Multi-target tracking; Re-identification; Real time in edge devices;
D O I：
10.12305/j.issn.1001-506X.2022.02.06
中图分类号：
学科分类号：
摘要：
In this paper, an improved real-time infrared multi-class multi-target tracking network is proposed, which not only ensures the tracking accuracy, but also redesigns the anchor-free network structure to further reduce the number of network parameters and the network inference latency. By optimizing the target feature vector, the recognition accuracy is further improved, and the tracking process is simplified and developed. In addition, through detailed analysis of the execution time of related processes, GPU and CPU are selected to perform the optimal operation respectively to improve the overall tracking speed. The above method is applied to the low altitude sea surface infrared target tracking dataset. The results show that under the comprehensive evaluation metric proposed in this paper, the score is increased by 1.78 and the running speed of the algorithm reaches 52.37 FPS in NVIDIA Jetson Xavier NX compared with other lightweight network, which meets the real-time operation requirements of edge devices. © 2022, Editorial Office of Systems Engineering and Electronics. All right reserved.
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页码：401 / 409
页数：8
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