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An adaptive optical flow technique for person tracking systems

Denman, Simon P., Chandran, Vinod, & Sridharan, Sridha (2007) An adaptive optical flow technique for person tracking systems. Pattern Recognition Letters, 28(10), pp. 1232-1239.

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Abstract

Optical flow can be used to segment a moving object from its background provided the velocity of the object is distinguishable from that of the background, and has expected characteristics. Existing optical flow techniques often detect flow (and thus the object) in the background. To overcome this, we propose a new optical flow technique, which only determines optical flow in regions of motion. We also propose a method by which output from a tracking system can be fed back into the motion segmenter/optical flow system to reinforce the detected motion, or aid in predicting the optical flow.

This technique has been developed for use in person tracking systems, and our testing shows that for this application it is more effective than other commonly used optical flow techniques. When tested within a tracking system, it works with an average position error of less than six and a half pixels, outperforming the current CAVIAR1 benchmark system.

Impact and interest:

44 citations in Scopus
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21 citations in Web of Science®

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847 since deposited on 09 Sep 2008
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ID Code: 14756
Item Type: Journal Article
Keywords: Person tracking, Optical flow, Motion detection
DOI: 10.1016/j.patrec.2007.02.008
ISSN: 0167-8655
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Computer Vision (080104)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Image Processing (080106)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Institutes > Information Security Institute
Copyright Owner: Copyright 2007 Elsevier
Copyright Statement: Reproduced in accordance with the copyright policy of the publisher.
Deposited On: 09 Sep 2008
Last Modified: 29 Feb 2012 23:31

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