DocumentCode :
2701834
Title :
Adaptive summarisation of surveillance video sequences
Author :
Li, Jian ; Nikolov, Stavri G. ; Benton, Christopher P. ; Scott-Samuel, Nicholas E.
Author_Institution :
Univ. of Bristol, Bristol
fYear :
2007
fDate :
5-7 Sept. 2007
Firstpage :
546
Lastpage :
551
Abstract :
We describe our studies on summarising surveillance videos using optical flow information. The proposed method incorporates motion analysis into a video skimming scheme in which the playback speed is determined by the detectability of interesting motion behaviours according to prior information. A psycho-visual experiment was conducted to compare human performance and viewing strategy for summarised videos using standard video skimming techniques and a proposed motion-based adaptive summarisation technique.
Keywords :
image motion analysis; image sequences; video surveillance; motion analysis; motion behaviours; motion-based adaptive summarisation technique; optical flow information; playback speed; psycho-visual experiment; surveillance video sequences; video skimming scheme; Cameras; Displays; Event detection; Humans; Image motion analysis; Motion analysis; Motion detection; Psychology; Surveillance; Video sequences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Video and Signal Based Surveillance, 2007. AVSS 2007. IEEE Conference on
Conference_Location :
London
Print_ISBN :
978-1-4244-1696-7
Electronic_ISBN :
978-1-4244-1696-7
Type :
conf
DOI :
10.1109/AVSS.2007.4425369
Filename :
4425369
Link To Document :
بازگشت