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Motion-based recognition deals with the recognition of objects or motions directly from the motion information extracted from a sequence of images. There are two main steps in this approach. The first consists of finding an appropriate representation for the objects or motions, from the motion cues of the sequence, and then organize them into useful representations. The second step consists of the matching of some unknown input with a model. This paper provides a review of recent developments in motion-based recognition.>
Cedras et al. (Sat,) studied this question.
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