Adaptive optical flow for person tracking
Contribuinte(s) |
Lovell, B. Maeder, A. |
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Data(s) |
2005
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Resumo |
Person tracking systems are dependent on being able to locate a person accurately across a series of frames. Optical flow can be used to segment a moving object from a scene, provided the expected velocity of the moving object is known; but successful detection also relies on being able segment the background. A problem with existing optical flow techniques is that they don’t discriminate the foreground from the background, and so often detect motion (and thus the object) in the background. To overcome this problem, we propose a new optical flow technique, that is based upon an adaptive background segmentation technique, which only determines optical flow in regions of motion. This technique has been developed with a view to being used in surveillance systems, and our testing shows that for this application it is more effective than other standard optical flow techniques. |
Formato |
application/pdf |
Identificador | |
Publicador |
IEEE CS Press |
Relação |
http://eprints.qut.edu.au/25579/1/c25579.pdf DOI:10.1109/DICTA.2005.11 Denman, Simon, Chandran, Vinod, & Sridharan, Sridha (2005) Adaptive optical flow for person tracking. In Lovell, B. & Maeder, A. (Eds.) Proceedings of DICTA2005 Digital Image Computing: Techniques and Applications, IEEE CS Press, Cairns Convention Centre, Cairns, QLD, pp. 1-7. |
Direitos |
Copyright 2005 IEEE Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
Fonte |
Faculty of Built Environment and Engineering |
Palavras-Chave | #080104 Computer Vision #080106 Image Processing #Optical Flow, Person Tracking, Adaptive Motion Detection |
Tipo |
Conference Paper |