• Laser & Optoelectronics Progress
  • Vol. 57, Issue 22, 221022 (2020)
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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    DOI: 10.3788/LOP57.221022 Cite this Article Set citation alerts
    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 Copy Citation Text show less

    Abstract

    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.
    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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