Computer Science ›› 2018, Vol. 45 ›› Issue (4): 296-300.doi: 10.11896/j.issn.1002-137X.2018.04.050

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Anti-occlusion Adaptive-scale Object Tracking Algorithm

QU Zhong and ZHAO Cong-mei   

  • Online:2018-04-15 Published:2018-05-11

Abstract: There are still some problems in the aspect of handling scale and object occlusion by using different features of correlation filter to perform object tracking.In this paper,a multi-scale kernel correlation filter algorithm based on random fern detector was proposed.The tracking task was decomposed into the target scale estimation and the translation estimation.At the same time,the CN colour feature and HOG feature were fused in response level to further improve the overall tracking performance of the algorithm.In addition,an online random fern classifier was trained to reob-tain the target after the target was lost.By comparing with KCF,DSST,TLD, MIL and CT algorithms,it is proved that the proposed method can accurately estimate target status and effectively deal with the occlusion problem.

Key words: Object tracking,Random fern,Multi-scale,Correlation filter,CN colour space

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