Periodic event detection and recognition in video

Periodicity attracts special attention in human cognition. Hence it is important to consider that in automatic analysis of motion events. This paper presents a method for representing periodic events with which events can be compared irrespective of their duration. The effectiveness of such a representation is verified with event classification.

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