Computer Science ›› 2015, Vol. 42 ›› Issue (2): 316-319.doi: 10.11896/j.issn.1002-137X.2015.02.067

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Particle Filter Object Tracking Based on Adaptive Feature Fusion

HUAN Er-yang and LI Rui   

  • Online:2018-11-14 Published:2018-11-14

Abstract: In order to solve the problem that the traditional particle filter tracking method fails under the complex background,a tracking algorithm named particle filter object tracking based on feature fusion adaptively was proposed.The object is represented by color feature and edge feature that are selected in our algorithm and fused by the particle filter.The weighting coefficient of feature is adjusted by the reliability.If the scale of object is changing,the template of object in the tracking process is needed to update.The experimental results show that the proposed algorithm can track the object stably and more accurately when the object is under the complex background or is occluded.

Key words: Object tracking,Particle filter,Histogram of color,Histogram of edge,Reliability

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