Title :
Periodic event detection and recognition in video
Author :
Vivek, E.P. ; Pogalin, Erik ; Smeulders, Arnold W M
Author_Institution :
Intell. Syst. Lab. Amsterdam, Univ. of Amsterdam, Amsterdam
Abstract :
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.
Keywords :
image classification; image motion analysis; image representation; video signal processing; automatic video-based motion event analysis; event classification; human cognition; periodic event detection; periodic event recognition; periodic event representation; Biological system modeling; Cognition; Data mining; Event detection; Feature extraction; Frequency estimation; Humans; Intelligent systems; Motion analysis; Motion detection; action recognition; event representation; motion analysis; periodic events; visual periodicity;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-2353-8
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2009.4960389
