System design for moving target tracking based on mean-shift algorithm

Yu Yang; Chengpo Mu; Kai Liu

doi:10.1117/12.2503040

9 August 2018 System design for moving target tracking based on mean-shift algorithm

Yu Yang, Chengpo Mu, Kai Liu

Proceedings Volume 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018); 1080617 (2018) https://doi.org/10.1117/12.2503040
Event: Tenth International Conference on Digital Image Processing (ICDIP 2018), 2018, Shanghai, China

Abstract

This paper designs a moving target tracking system. Firstly, on the aspect of hardware, a moving target tracking platform is designed, which consists of visible CCD camera, servo PTZ, FPGA control card and PC. The platform can achieve target image acquisition, image transmission, PTZ control and algorithm processing. Secondly, on the aspect of algorithm, aiming at the deficiency of the Mean Shift (MS) algorithm in poor anti-background interference ability, a target modeling method is proposed. The method fuses HSV color feature and edge orientation feature for Mean-Shift iteration. Then the improved algorithm is tested on the DAPRA Egtest01 test sets. Experiment results show that the improved algorithm is good at tracking target whose color is similar to the background color. Finally, the improved algorithm is implemented on the hardware platform. The real-time automatic tracking experiment shows that the system can obtain a satisfied tracking target result.

Citation Download Citation

Yu Yang, Chengpo Mu, and Kai Liu "System design for moving target tracking based on mean-shift algorithm", Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 1080617 (9 August 2018); https://doi.org/10.1117/12.2503040

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