Laser & Optoelectronics Progress, Volume. 57, Issue 22, 221022(2020)

Background Gradient Corrected Histogram Tracking Algorithm Based on Mean Shift

Lulu Yu1,2, Fengfu Tan1、*, Xiutao Chen1, Laian Qin1, and Zaihong Hou1
Author Affiliations
  • 1Key Laboratory of Atmospheric Optics, Anhui Institute of Optical and Fine Machinery, Chinese Academy of Sciences, Hefei, Anhui 230031, China
  • 2University of Science and Technology of China, Hefei, Anhui 230026, China
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    When background fluctuates in the image, the target tracking process will follow the fluctuation of background with corrected background-weighted histogram (CBWH) algorithm, which will cause fluctuation-errors. In order to improve the tracking effect under fluctuant background and reduce the fluctuation-errors, this paper proposes a background gradient corrected histogram (BGCH) algorithm based on CBWH algorithm. It uses the background gradient information of adjacent frames to perform a second-order correction on the target model, and blocks the fluctuation-following process of the CBWH algorithm in advance. Experimental results show that this method significantly reduces the fluctuation-errors of CBWH algorithm, and also shows better robustness under the condition of target deforming and blurring.

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    Lulu Yu, Fengfu Tan, Xiutao Chen, Laian Qin, Zaihong Hou. Background Gradient Corrected Histogram Tracking Algorithm Based on Mean Shift[J]. Laser & Optoelectronics Progress, 2020, 57(22): 221022

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    Paper Information

    Category: Image Processing

    Received: Feb. 3, 2020

    Accepted: Mar. 6, 2020

    Published Online: Nov. 10, 2020

    The Author Email: Tan Fengfu (fftan@aiofm.ac.cn)

    DOI:10.3788/LOP57.221022

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