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A stochastic model for the detection of coherent motion

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Abstract

A computational model is presented for the detection of coherent motion based on template matching and hidden Markov models. The premise of this approach is that the growth in detection sensitivity is greater for coherent motion of structured forms than for random coherent motion. In this preliminary study, a recent experiment was simulated with the model and the results are shown to be in agreement with the above premise. This model can be extended to be part of a more complex and elaborate computational visual system.

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Authors and Affiliations

  1. Edward S. Rogers Department of Electrical and Computer Engineering, University of Toronto, 10 King’s College Road, Toronto, ON, M5S 3G4, Canada

    Jason Lee & Willy Wong

  2. Institute of Biomaterials and Biomedical Engineering, University of Toronto, 4 Taddle Creek Road, Toronto, ON, M5S 3G9, Canada

    Willy Wong

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  1. Jason Lee
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  2. Willy Wong
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Correspondence to Willy Wong.

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Lee, J., Wong, W. A stochastic model for the detection of coherent motion. Biol. Cybern. 91, 306–314 (2004). https://doi.org/10.1007/s00422-004-0516-0

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  • DOI: https://doi.org/10.1007/s00422-004-0516-0

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