Computer Engineering

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Improved Object Tracking Algorithm Based on Mean Shift

LIU Tianjian,QIU Lida,ZHANG Ning   

  1. (Department of Physics and Electronic Information Engineering,Minjiang University,Fuzhou 350108,China)
  • Received:2015-03-03 Online:2015-09-15 Published:2015-09-15


In the process of visual tracking,target window is always drifted for the illumination light change,deformation and poses change which affect the accuracy and robust tracking performance.To solve this problem,this paper proposes a novel Mean Shift(MS) algorithm based on picture layer which represents target model by the kernel histogram in the discrete fields.In order to improve the tracking performance,the objective function is smoothed to avoid falling into the local minimum in the search procedure.Experimental results show that the tracking precision of proposed algorithm increases by 16% compared with Multiple Instance Learning(MIL) algorithm,and it has better real-time and robustness.

Key words: object tracking, object representation, discrete domain model, Mean Shift(MS), iterative optimization

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