An edge template matching method based on FPGA for UAV extended target tracking

Leijie Sheng; Yao Zhang; Qingqing Li; Ge Jia

doi:10.1117/12.2681356

8 June 2023 An edge template matching method based on FPGA for UAV extended target tracking

Leijie Sheng, Yao Zhang, Qingqing Li, Ge Jia

Proceedings Volume 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023); 1270724 (2023) https://doi.org/10.1117/12.2681356
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 2023, Changsha, China

Abstract

Aiming at the problem of template degradation and low real-time tracking in the scene of target jitter and target pose change in the process of UAV extended target tracking, an edge template matching method is proposed in this paper. Specifically, the edge information of each frame image is utilized to update the target edge template by integral and enhance the robustness of the template. Besides, FPGA is adopted to realize the hardware circuit design of the proposed algorithm and optimize the tracking real-time problem. Experimental results demonstrates that the proposed method have satisfactory performance, the tracking matching rate reaches 90% and the tracking speed reaches 200 FPS.

Citation Download Citation

Leijie Sheng, Yao Zhang, Qingqing Li, and Ge Jia "An edge template matching method based on FPGA for UAV extended target tracking", Proc. SPIE 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 1270724 (8 June 2023); https://doi.org/10.1117/12.2681356

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