DocumentCode :
2229351
Title :
Video Mining - Learning Patterns of Behaviour via an Intelligent Image Analysis System
Author :
Bell, D.A. ; Beck, A. ; Miller, P. ; Wu, Q.X. ; Herrera, A.
Author_Institution :
Queen´´s Univ., Belfast
fYear :
2007
fDate :
20-24 Oct. 2007
Firstpage :
460
Lastpage :
464
Abstract :
In this paper we describe a system for capturing time-varying sequences of behavioural patterns of agents or robots from a video clips. The detailed time slices of action are ´coarsened´ to provide gross, molecular units of behaviour. Combinations of these are then represented in the form of a table, which is mined using rough sets methods here, although various other mining techniques can also be used. Some preliminary experiments are reported to prove the concept.
Keywords :
data mining; image sequences; learning (artificial intelligence); mobile robots; robot vision; rough set theory; video signal processing; behavioural patterns; intelligent image analysis system; mobile robot; pattern learning; rough sets methods; time-varying sequences; video mining; Algorithm design and analysis; Artificial intelligence; Data mining; Image analysis; Intelligent systems; Pattern analysis; Robots; Streaming media; Surveillance; Time series analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems Design and Applications, 2007. ISDA 2007. Seventh International Conference on
Conference_Location :
Rio de Janeiro
Print_ISBN :
978-0-7695-2976-9
Type :
conf
DOI :
10.1109/ISDA.2007.53
Filename :
4389651
Link To Document :
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