Robust similarity measurement based on gray change consensus for target tracking
Concerning the target losing problem caused by partial occlusion, uneven illumination and so on during the image tracking procedure by traditional algorithms, a new tracking method based on robust similarity measurement criteria is proposed in this paper. The measurement is carried out with the original gray image pair with no preprocessing such as feature extraction. First, a two-dimensional joint distribution histogram is set up to describe the gray value change between the pixel in the reference and its corresponding pixel in the real image. Then, the law of data distribution under uneven illumination and partial occlusion is concluded. At last, a strategy based on Hough transformation is adopted to calculate the measurement value on the joint histogram. The method is robust for the uneven illumination. And small partial occlusion has little influence on the output value of the similarity measurement. Comparing experimental results show the new method’s efficiency.
target tracking similarity measurement partial occlusion uneven illumination
Xiao Zhou Xingang Mou Ruolan Hu Guilin Zhang
School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan430070, china State Key Lab. for Multispectral Information Processing Technologies, Institute forPattern Recogniti State Key Lab. for Multispectral Information Processing Technologies, Institute for Pattern Recognit
国际会议
桂林
英文
1-7
2011-11-01（万方平台首次上网日期，不代表论文的发表时间）