• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2012, Vol. 34 ›› Issue (4): 57-60.

• 论文 • Previous Articles     Next Articles

Local Features for Occlusion in Object Tracking

MENG Bo1,QU Zhaoyang1,MAO Wenbei2,GUO Xiaoli1   

  1. (1.School of Information Engineering,Notheast Dianli Universtity,Jilin 132012;2.School of Computer Science,Beihang University,Beijing 100191,China)
  • Received:2011-11-05 Revised:2012-02-10 Online:2012-04-26 Published:2012-04-25

Abstract:

To solve the occlusion problem of object tracking in videos, a local shape feature is proposed to estimate the occlusion state. In this correlate matching algorithm, the methods combine the local features which are not occluded and the motion predictions to calculate the object portion. In this way, the influence brought by the occluded is avoided. The experimental results show that the algorithm is robust to solving the occlusion problem, and the occluded state judged by the proposed local shape feature is correct.

Key words: local feature;object tracking;occlusion