DocumentCode
3282565
Title
Spatiotemporal visual attention architecture for video analysis
Author
Rapantzikos, Konstantinos ; Tsapatsoulis, Nicolas ; Avrithis, Yannis
Author_Institution
Sch. of Electr. & Comput. Eng., Nat. Tech. Univ. of Athens, Greece
fYear
2004
fDate
29 Sept.-1 Oct. 2004
Firstpage
83
Lastpage
86
Abstract
Several visual attention (VA) schemes have been proposed with the saliency-based ones being the most popular. The proposed work provides an extension towards VA in video sequences by incorporating the temporal dimension. The architecture is presented in detail and potential applications are investigated. We expect that the extended VA scheme can reveal interesting events across the sequence like occlusions and short occurrences of objects, providing a basis for video surveillance (e.g. intruder detection), segmentation, and summarization applications.
Keywords
image sequences; surveillance; video signal processing; scene analysis; spatiotemporal visual attention architecture; video analysis; video sequence; video surveillance; Colored noise; Computer architecture; Computer science; Image analysis; Image segmentation; Image sequence analysis; Noise generators; Postal services; Spatiotemporal phenomena; Video surveillance;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Signal Processing, 2004 IEEE 6th Workshop on
Print_ISBN
0-7803-8578-0
Type
conf
DOI
10.1109/MMSP.2004.1436423
Filename
1436423
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