Online Failure Detection and Correction for CAMShift Tracking Algorithm

Online Failure Detection and Correction for CAMShift Tracking Algorithm

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Part of #Online Failure Detection and Correction for CAMShift Tracking Algorithm# :

Publishing year : 2013

Conference : Eighth Conference of Visual Machine and Image Processing

Number of pages : 4

Abstract: Tracking failure is an inevitable problem in any objecttracking algorithm. Online evaluation of a tracking algorithm todetect and correct failures is therefore an important task in anyobject tracking system. In this paper we propose an early tracking failure detection procedure for the Continuously Adaptive Mean-Shift (CAMShift) tracking algorithm. We alsopropose an algorithm to modify the tracker in order to correct the detected failures. CAMShift is a light-weight tracking algorithm first developed based on the mean-shift to track the humanface as a component in a perceptual user interface, but it easilyfails in tracking targets in more complex situations likesurveillance applications. With our proposed failure detection and correction algorithm, CAMShift shows promising results in test video sequences