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Object Scale Estimation in Mean-shift Tracking with Background Weighted Histogram

  • Journal of Knowledge Information Technology and Systems
  • Abbr : JKITS
  • 2014, 9(4), pp.519-531
  • Publisher : Korea Knowledge Information Technology Society
  • Research Area : Interdisciplinary Studies > Interdisciplinary Research
  • Published : August 31, 2014

황만원 1 Min Hong 2 Choi Yoo Joo 3

1제론헬스케어 기술 연구소
2순천향대학교
3서울미디어대학원대학교

Accredited

ABSTRACT

In this paper, we proposed a robust scale estimation method for mean-shift tracking with background weighted local kernel. The shrinking problem of tracking kernel is frequently happened when the previous scale estimation methods based on color similarity between target and target candidate are applied in the mean-shift tracking with background weighted kernel. In order to solve the kernel shrinking problem, we defined a novel similarity evaluation criterion between target and target candidate based on weight average and found the most similar target candidate among several candidates with different kernel size. In order to validate robustness of the proposed scale estimation method, we compared the proposed method with the previous methods using challenging and self-made test data sequences. Experimental results show the proposed model have good performance to estimate tracked object scale.

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