DocumentCode :
3035375
Title :
Event description from video stream for anomalous human activity and behaviour detection
Author :
Saad, Mohamad Hanif Md ; Hussain, Aini ; Loong, Liang Xian ; Baharuddin, Wan Noor Aziezan ; Tahir, Nooritawati Md
Author_Institution :
Smart Eng. Syst. Res., UKM Bangi, Bangi, Malaysia
fYear :
2011
fDate :
4-6 March 2011
Firstpage :
503
Lastpage :
506
Abstract :
Event description is a way to objectively describe an event and activity in a video stream in a measurable manner such that it can be processed by computer systems. Event Description Language (EDL) is an event description framework which is used to store and describe objective meaningful event and activity occurring in a video stream. This paper discusses the manual application of one such EDL, the InVISS Event Description Language in annotating actions and events in a video stream. The annotated sequence could later be provided to an activity recognition module for automated recognition of activity in a video stream.
Keywords :
behavioural sciences; video streaming; anomalous human activity; automated recognition; behaviour detection; computer systems; event description language; video stream; Artificial intelligence; Feature extraction; Humans; Object recognition; Signal processing; Streaming media; Visualization; Event Description Language; Video processing; anomalous activity detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and its Applications (CSPA), 2011 IEEE 7th International Colloquium on
Conference_Location :
Penang
Print_ISBN :
978-1-61284-414-5
Type :
conf
DOI :
10.1109/CSPA.2011.5759931
Filename :
5759931
Link To Document :
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