On the incremental learning and recognition of the pattern of movement of multiple labelled objects in dynamic scenes
Mugurel, Mihai Lazarescu, Venkatesh, Svetha and West, Geoff 2000, On the incremental learning and recognition of the pattern of movement of multiple labelled objects in dynamic scenes, in ICPR 2000 : Proceedings of the International Conference on Pattern Recognition, IEEE, Washington, D. C., pp. 652-655.
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In this paper we discuss combining incremental learning and incremental recognition to classify patterns consisting of multiple objects, each represented by multiple spatio-temporal features. Importantly the technique allows for ambiguity in terms of the positions of the start and finish of the pattern. This involves a progressive classification which considers the data at each time instance in the query and thus provides a probable answer before all the query information becomes available. We present two methods that combine incremental learning and incremental recognition: a time instance method and an overall best match method.
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Field of Research
080109 Pattern Recognition and Data Mining
Socio Economic Objective
970108 Expanding Knowledge in the Information and Computing Sciences
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