Computer Science ›› 2017, Vol. 44 ›› Issue (Z11): 193-198.doi: 10.11896/j.issn.1002-137X.2017.11A.040

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Visual Object Tracking Method with Motion Estimation and Scale Estimation

ZHU Hang-jiang, ZHU Fan, PAN Zhen-fu and ZHU Yong-li   

  • Online:2018-12-01 Published:2018-12-01

Abstract: Visual tracking has a wide range of applications in various fields such as video intelligent monitoring and eyes of robot.Based on discriminatory correlation filter,a visual target tracking method with motion estimation and scale estimation method was proposed.First,this method combines translation kernel correlation filter and particle filter method to estimate the position of moving targets on the frame.And then,it executes the scale correlation filter to be stronger ability to adapt scale change of moving object.In traditional KCF tracking algorithm,this method introduces a motion state estimation method based on probability,which can obtain more stable signal of target,and reduces the introduction ofthe background interference information at the same time,leading to it has stronger anti-jamming in complex scenarios.On benchmark data set,we took experiment to test this method,and compared our method with the current advanced tracking methods to verify the efficiency of the proposed algorithm in this paper.It has strong adaptability under complex conditions,the change of scale,illumination,change of pose,partial sheltering,rotating and rapid movement etc.

Key words: Target tracking,Machine vision,Correlation filter,Motion state estimation,Scale estimation

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