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» Combined visual attention model for video sequences
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CIVR
2007
Springer
231views Image Analysis» more  CIVR 2007»
15 years 3 months ago
Classification of video events using 4-dimensional time-compressed motion features
Among the various types of semantic concepts modeled, events pose the greatest challenge in terms of computational power needed to represent the event and accuracy that can be ach...
Alexander Haubold, Milind R. Naphade
108
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PAMI
2011
14 years 4 months ago
Bilayer Segmentation of Webcam Videos Using Tree-Based Classifiers
—This paper presents an automatic segmentation algorithm for video frames captured by a (monocular) webcam that closely approximates depth segmentation from a stereo camera. The ...
Pei Yin, Antonio Criminisi, John M. Winn, Irfan A....
PAMI
2007
194views more  PAMI 2007»
14 years 9 months ago
Robust Object Tracking Via Online Dynamic Spatial Bias Appearance Models
This paper presents a robust object tracking method via a spatial bias appearance model learned dynamically in video. Motivated by the attention shifting among local regions of a ...
Datong Chen, Jie Yang
CVPR
2007
IEEE
15 years 11 months ago
Bridging the Gap between Detection and Tracking for 3D Monocular Video-Based Motion Capture
We combine detection and tracking techniques to achieve robust 3?D motion recovery of people seen from arbitrary viewpoints by a single and potentially moving camera. We rely on d...
Andrea Fossati, Miodrag Dimitrijevic, Vincent Lepe...
3DPVT
2004
IEEE
250views Visualization» more  3DPVT 2004»
15 years 1 months ago
Multiple View Reconstruction of People
This paper presents a unified framework for model-based and model-free reconstruction of people from multiple camera views in a studio environment. Shape and appearance of the rec...
Adrian Hilton, Jonathan Starck