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» Content based video matching using spatiotemporal volumes
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ECCV
2006
Springer
14 years 9 months ago
Gait Recognition Using a View Transformation Model in the Frequency Domain
Gait analyses have recently gained attention as methods of identification of individuals at a distance from a camera. However, appearance changes due to view direction changes caus...
Yasushi Makihara, Ryusuke Sagawa, Yasuhiro Mukaiga...
ECCV
2008
Springer
14 years 9 months ago
Extracting Moving People from Internet Videos
Abstract. We propose a fully automatic framework to detect and extract arbitrary human motion volumes from real-world videos collected from YouTube. Our system is composed of two s...
Juan Carlos Niebles, Bohyung Han, Andras Ferencz, ...
CVPR
2009
IEEE
1863views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Abnormal Crowd Behavior Detection using Social Force Model
In this paper we introduce a novel method to detect and localize abnormal behaviors in crowd videos using Social Force model. For this purpose, a grid of particles is placed ove...
Alexis Oyama, Mubarak Shah, Ramin Mehran
GIS
2010
ACM
13 years 2 months ago
Modelling spatial video as part of a GIS video analysis framework
It is now common for video; real-time and collected, mobile and static, to be georeferenced and stored in large archives for users of expert systems to access and interact with. I...
Paul Lewis
MTA
2010
175views more  MTA 2010»
13 years 6 months ago
Automatic summarization of rushes video using bipartite graphs
In this paper we present a new approach for automatic summarization of rushes video. Our approach is composed of three main steps. First, based on a temporal segmentation, we filte...
Liang Bai, Yan-Li Hu, Songyang Lao, Alan F. Smeato...