On the incremental learning and recognition of the pattern of movement of multiple labelled objects in dynamic scenes
M.L. Mugurel, Svetha Venkatesh, GEOFF A. W. WEST · 2002
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.