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ICCV
2009
IEEE
15 years 18 days ago
Spatio-Temporal Relationship Match: Video Structure Comparison for Recognition of Complex Human Activities
Human activity recognition is a challenging task, especially when its background is unknown or changing, and when scale or illumination differs in each video. Approaches utilizi...
M. S. Ryoo1; J. K. Aggarwal
CVPR
2003
IEEE
14 years 9 months ago
Activity Recognition Using the Dynamics of the Configuration of Interacting Objects
Monitoring activities using video data is an important surveillance problem. A special scenario is to learn the pattern of normal activities and detect abnormal events from a very...
Namrata Vaswani, Amit K. Roy Chowdhury, Rama Chell...
CVPR
2007
IEEE
13 years 11 months ago
Inferring 3D Volumetric Shape of Both Moving Objects and Static Background Observed by a Moving Camera
We present a novel approach to inferring 3D volumetric shape of both moving objects and static background from video sequences shot by a moving camera, with the assumption that th...
Chang Yuan, Gérard G. Medioni
FGR
2004
IEEE
230views Biometrics» more  FGR 2004»
13 years 11 months ago
Tracking Humans using Prior and Learned Representations of Shape and Appearance
Tracking a moving person is challenging because a person's appearance in images changes significantly due to articulation, viewpoint changes, and lighting variation across a ...
Jongwoo Lim, David J. Kriegman
DICTA
2008
13 years 9 months ago
Application of the Particle Filter to Tracking of Fish in Aquaculture Research
The analysis of fish movement as an indicator of fish behaviour plays an important role in aquaculture research. Currently observations are carried out manually using video record...
Tomasz Pinkiewicz, Ray Williams, John Purser