| ECVision indexed and annotated bibliography of cognitive computer vision publications This bibliography was created by Hilary Buxton and Benoit Gaillard, University of Sussex, as part of ECVision Specific Action 8-1 The complete text version of this BibTeX file is available here: ECVision_bibliography.bib
Blake, A. and Bascle, B. and Isard, M. and MacCormick, J.P.
ABSTRACT
The analysis of visual motion against dense background clutter is a challenging problem. uncertainty in the positions of visually sensed features and ambiguity of feature correspondence call for a probabilistic treatment, capable of maintaining not simply a single estimate of position and shape but an entire distribution. Exact representation of the evolving distribution is possible when the distributions are Gaussian and this yields some powerful approaches. However normal distributions are limited when clutter is present: because of their unimodality, they cannot be used to represent simultaneous alternative hypotheses. abstract = |
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