NDLI: Statistical processing of video for detection of events in space and time

Content Provider	IEEE Xplore Digital Library
Author	Briassouli, A. Kompatsiaris, I.
Copyright Year	2008
Description	Author affiliation: Inf. & Telematics Inst., Athens (Briassouli, A.; Kompatsiaris, I.)
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.
Starting Page	1293
Ending Page	1296
File Size	521051
Page Count	4
File Format	PDF
ISBN	9781424425709
DOI	10.1109/ICME.2008.4607679
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-06-23
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Pixel Estimation Robustness Noise Data mining Noise measurement Surveillance statistical processing activity event detection temporal localization sequential change detection
Content Type	Text
Resource Type	Article

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