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《Acta Armamentarii》 2011-04
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A Method for Tracking Object in Infrared and Visible Image Based on Multiple Features

ZHAO Gao-peng,BO Yu-ming,CHEN Yi(School of Automation,Nanjing University of Science and Technology,Nanjing 210094,Jiangsu,China)  
Aimed at poor stability of tracking object in image by using single feature,a new method was presented for tracking objects in infrared and visible images based on multiple features.It extracted the brightness features in infrared image,the color and texture features in visible image,established an multiple feature object model represented by a set of histogram quantized by kernel function.Then the object representation was combined with the mean shift scheme to realize image tracking,and these features were adaptively fused to obtain a more robust and accurate result according to the similarity measure of Bhattacharyya coefficient.Furthermore,a selective model update mechanism was presented to alleviate the model drift.Experiment results show that the proposed method is effective in complex environment.
【CateGory Index】: TP391.41
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