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Algorithm of scale change objects tracking with adaptive bandwidth

LI Wu, HOU Zhiqiang*, WEI Guojian, YU Wangsheng   

  1. Information and Navigation College, Air Force Engineering University, Xian 710077, Shaanxi, China
  • Received:2013-08-22 Online:2014-04-20 Published:2013-08-22

Abstract: Taking advantage of the invariant characters for translation and rotation of the Log-polar transformation, a scale tracking method based on the ellipse log-polar transform was investigated to resolve the problem of scale change object tracking. Firstly, a saliency weighted mean shift was presented to locate the objects spatial orientation, then the candidate object region was translated to the ellipse log-polar transformation and integrated along the scale axis. The new proposed method estimated the targets scale parameters according to the maximum correlation coefficient in the transform domain. Experimental results demonstrated that the algorithm could adapt to the objects scale changes and the tracking error was lower. Compared with the traditional, it had a better robustness.

Key words: object tracking, salient weighting, scale variant, mean shift, ellipse log-polar transform, correlation matching

CLC Number: 

  • TP391
[1] WANG Haijun, GE Hongjuan, ZHANG Shengyan. Object tracking via L1 norm and least soft-threshold square [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2016, 46(3): 14-22.
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