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《Modern Electronics Technique》 2013-09
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Target tracking algorithm based on HOG and online multiple instance learning

LIU Hua-jun,WANG Yu-kun(Unit 91550 of PLA,Dalian 116023,China)  
Traditional algorithm based on color histogram or spatial color histogram sometimes fails to get accurate results under intricate conditions due to the similar color of both objects and their background.such as scale modifications occur to the objects.A target tracking algorithm based on histograms of oriented gradient(HOG)and online multi-instance learning is put forward in this paper.The algorithm adopts HOG eigenvalue extraction mode and online multi-instance learning technology to track the targets,which are far from their scenes,translating,rotating or shielded.Experiments show that this algorithm can track the dynamic targets in complex situations effectively,and has high robust and high accuracy.
【CateGory Index】: TP391.41
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