Laser & Optoelectronics Progress, Volume. 57, Issue 22, 221022(2020)
Background Gradient Corrected Histogram Tracking Algorithm Based on Mean Shift
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
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)