“Multiresolution and local search methods for optimizing visual tracking processes on GPU” by Cabido, Montemayor, Pantrigo and Payne

  • ©Raul Cabido, Antonio S. Montemayor, Juan José Pantrigo, and Bryson R. Payne

  • ©Raul Cabido, Antonio S. Montemayor, Juan José Pantrigo, and Bryson R. Payne

  • ©Raul Cabido, Antonio S. Montemayor, Juan José Pantrigo, and Bryson R. Payne

Conference:


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Title:

    Multiresolution and local search methods for optimizing visual tracking processes on GPU

Presenter(s)/Author(s):



Abstract:


    Some visual applications, such as virtual blackboards or gesture recognition for HCI applications, rely on precise visual tracking algorithms. In order to provide this accuracy, some refinement methods are needed as a complement to a coarser approach. In this case, Local Search (LS) methods are typically used, as their purpose is the exploration of a search space to improve a previous estimation. In this category fall many search algorithms such as Tabu Search, Simulated Annealing, Scatter Search, etc.

References:


    1. Montemayor, A. S., Pantrigo, J. J., Cabido, R., Payne, B. R., Cabido, Á. S., and Fernández, F. 2006. Improving GPU particle filter with shader model 3.0 for visual tracking. In Proc. of ACM SIGGRAPH 2006-Research Posters.


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©Raul Cabido, Antonio S. Montemayor, Juan José Pantrigo, and Bryson R. Payne ©Raul Cabido, Antonio S. Montemayor, Juan José Pantrigo, and Bryson R. Payne ©Raul Cabido, Antonio S. Montemayor, Juan José Pantrigo, and Bryson R. Payne

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