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» Detecting Irregularities in Images and in Video
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CVPR
2007
IEEE
14 years 9 months ago
Filtered Component Analysis to Increase Robustness to Local Minima in Appearance Models
Appearance Models (AM) are commonly used to model appearance and shape variation of objects in images. In particular, they have proven useful to detection, tracking, and synthesis...
Fernando De la Torre, Alvaro Collet, Manuel Quero,...
CVPR
2007
IEEE
14 years 9 months ago
Tracking Large Variable Numbers of Objects in Clutter
We propose statistical data association techniques for visual tracking of enormously large numbers of objects. We do not assume any prior knowledge about the numbers involved, and...
Margrit Betke, Diane E. Hirsh, Angshuman Bagchi, N...
ECCV
2002
Springer
14 years 9 months ago
Recognizing and Tracking Human Action
Human activity can be described as a sequence of 3D body postures. The traditional approach to recognition and 3D reconstruction of human activity has been to track motion in 3D, m...
Josephine Sullivan, Stefan Carlsson
ICPR
2008
IEEE
14 years 8 months ago
Analysis of human behaviour in front of a target scene
In this paper we present an application of computer vision techniques to obtain specific information about the behaviour of the people passing in front of a target scene. This is ...
Adel Lablack, Chabane Djeraba
CVPR
2010
IEEE
14 years 3 months ago
Efficient Extraction of Human Motion Volumes by Tracking
We present an automatic and efficient method to extract spatio-temporal human volumes from video, which combines top-down model-based and bottom-up appearancebased approaches. Fr...
Juan Carlos Niebles, Bohyung Han, Li Fei-Fei