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