DocumentCode :
2694481
Title :
Statistical processing of video for detection of events in space and time
Author :
Briassouli, Alexia ; Kompatsiaris, Ioannis
Author_Institution :
Inf. & Telematics Inst., Athens
fYear :
2008
fDate :
June 23 2008-April 26 2008
Firstpage :
1293
Lastpage :
1296
Abstract :
Recently, advanced video processing systems have been developed for numerous applications, such as surveillance, tracking, monitoring, object and event detection. The large size of this data and the wide range of detectable events or objects render the automation of various video processing procedures necessary. The proposed system first finds the pixels where activities occur by processing the higher order statistics of luminance changes between accumulated video frames. Once these pixels are extracted, sequential likelihood ratio based change detection techniques are applied to find at which frames activities occur. The resulting system is novel, as it can localize actions both in space and in time, in a theoretically sound manner. Testing takes place with real video sequences, to demonstrate its effectiveness.
Keywords :
higher order statistics; image sequences; maximum likelihood detection; video signal processing; accumulated video frames; advanced video processing systems; change detection techniques; event detection; higher order statistics; luminance changes; sequential change detection; sequential likelihood ratio; statistical video processing; temporal localization; video sequences; Automation; Event detection; Higher order statistics; Lighting; Monitoring; Motion detection; Noise measurement; Object detection; Surveillance; Testing; activity; event detection; sequential change detection; statistical processing; temporal localization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo, 2008 IEEE International Conference on
Conference_Location :
Hannover
Print_ISBN :
978-1-4244-2570-9
Electronic_ISBN :
978-1-4244-2571-6
Type :
conf
DOI :
10.1109/ICME.2008.4607679
Filename :
4607679
Link To Document :
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