Computer Science

Computer Science ›› 2018, Vol. 45 ›› Issue (7): 252-258.doi: 10.11896／j.issn.1002-137X.2018.07.044

• Graphics, Image & Pattem Recognition • Previous Articles     Next Articles

Camshift Tracking Moving Target Algorithm Based on Multi-feature Fusion

WU Wei, ZHENG Juan-yi ,DU Le   

  1. School of Communication and Information Engineering,Xi’an University of Posts and Telecommunications,Xi’an 710121,China
  • Received:2017-05-05 Online:2018-07-30 Published:2018-07-30

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Abstract: Traditional Camshift algorithm tracks target characterized by the color histogram,with strong robustness for rigid target tracking.However,the tracking effects and accuracy may not be ideal when they are interfered by the objects with similar color.In view of this,a Camshift tracking algorithm of multi-feature fusion was proposed.Firstly,by extracting and processing the color feature,edge feature as well as the spatial information of target,the color space histogram and spatial edge orientation histogram are obtained.Then the central locations of target matching are obtained respectively under the framework of Camshift algorithm and the weight coefficient is obtained by using the similarity vectors of each image.The optimal central location is obtained through the method of adaptive weighted fusion.The experimental results show that compared with the traditional Camshift target tracking and the improved Meanshift algorithm based on complex feature fusion,the proposed method can effectively overcome the problems of color interference and overlapping occlusion that hamper tracking effects.It can avoid the target loss in the process of tracking which breaks throughthe limitations of traditional methods.

Key words: Camshift algorithm, Color space histogram, Multi-feature, Spatial edge orientation histogram

CLC Number: 

  • TP391.4
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