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Illumination-invariant tracking via graph cuts

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2 Author(s)
Freedman, D. ; Dept. of Comput. Sci., Rensselaer Polytech. Inst., Troy, NY, USA ; Turek, M.W.

Illumination changes are a ubiquitous problem in computer vision. They present a challenge in many applications, including tracking: for example, an object may move in and out of a shadow. We present a new tracking algorithm which is insensitive to illumination changes, while at the same time using all of the available photometric information. The algorithm is based on computing an illumination-invariant optical flow field; the computation is made robust by using a graph cuts formulation. Experimentally, the new technique is shown to quite reliable in both synthetic and real sequences, dealing with a variety of illumination changes that cause problems for density based trackers.

Published in:

Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on  (Volume:2 )

Date of Conference:

20-25 June 2005

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