Research on improved meanshift algorithm based on fuzzy control principle

Yang Zou; Zhikang Xiao; Zheng Wang

doi:10.1117/12.2538141

14 February 2020 Research on improved meanshift algorithm based on fuzzy control principle

Yang Zou, Zhikang Xiao, Zheng Wang

Proceedings Volume 11430, MIPPR 2019: Pattern Recognition and Computer Vision; 114300N (2020) https://doi.org/10.1117/12.2538141
Event: Eleventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2019), 2019, Wuhan, China

Abstract

Machine vision is now widely used. The traditional Meanshift algorithm can easily cause the target to be lost due to its fixed core radius, which makes the target change in size and direction, thus affecting the whole tracking result. Aiming at these problems, this paper introduces the fuzzy control method, based on the adaptive fuzzy mechanism of the similarity function value to select the appropriate dynamic kernel radius in real time, thus improving the tracking effect. Through the comparison of the tracking accuracy before and after the improvement of the video stream of the basketball game, the average accuracy of the improved tracking can reach 73.76%, which is 9.28%, so the target tracking of the athletes on the sports field can be effectively realized.

Citation Download Citation

Yang Zou, Zhikang Xiao, and Zheng Wang "Research on improved meanshift algorithm based on fuzzy control principle", Proc. SPIE 11430, MIPPR 2019: Pattern Recognition and Computer Vision, 114300N (14 February 2020); https://doi.org/10.1117/12.2538141

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