DocumentCode :
531806
Title :
Attention-based dense crowds analysis
Author :
Mancas, Matei
Author_Institution :
TCTS Lab., Univ. of Mons, Mons, Belgium
fYear :
2010
fDate :
12-14 April 2010
Firstpage :
1
Lastpage :
4
Abstract :
The use of algorithms which model part of the human attention can bring interesting results in the video analysis of difficult scenarios like dense crowds. A rarity-based attention model is able to provide in real-time areas in video frames where motion behavior is surprising compared to the rest of the motion in the same frame. This algorithm is also resistant to camera shake or translation and points out abnormal activities which can be used in surveillance but also to analyze and even foster social interaction.
Keywords :
behavioural sciences; image motion analysis; video signal processing; video surveillance; attention-based dense crowds analysis; camera shake; human attention; motion behavior; rarity-based attention model; social interaction; surveillance; video analysis; video frame; Analytical models; Estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Analysis for Multimedia Interactive Services (WIAMIS), 2010 11th International Workshop on
Conference_Location :
Desenzano del Garda
Print_ISBN :
978-1-4244-7848-4
Electronic_ISBN :
978-88-905328-0-1
Type :
conf
Filename :
5617654
Link To Document :
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