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Hyperplane Approximation for Template Matching
July 2002 (vol. 24 no. 7)
pp. 996-1000

Hager and Belhumeur recently proposed a general framework for object tracking in video images. It consists of low-order parametric models for the image motion of a target region. These models are used to predict movement and to track the target. The difference in intensity between the pixels belonging to the current region and the pixels of the selected target (learned during an offline stage) allows a straightforward prediction of the region position in the current image. The main aim of this article is to propose an important improvement within this framework, making the convergence faster with the same amount of online computation.

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Index Terms:
Visual tracking, motion estimation.
Citation:
Frédéric Jurie, Michel Dhome, "Hyperplane Approximation for Template Matching," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, no. 7, pp. 996-1000, July 2002, doi:10.1109/TPAMI.2002.1017625
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