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» Background Modeling and Subtraction of Dynamic Scenes
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CVPR
2005
IEEE
15 years 11 months ago
Combining Object and Feature Dynamics in Probabilistic Tracking
Objects can exhibit different dynamics at different scales, and this is often exploited by visual tracking algorithms. A local dynamic model is typically used to extract image fea...
Leonid Taycher, John W. Fisher III, Trevor Darrell
77
Voted
PREMI
2005
Springer
15 years 3 months ago
Hybrid Hierarchical Learning from Dynamic Scenes
The work proposes a hierarchical architecture for learning amic scenes at various levels of knowledge abstraction. The raw visual information is processed at different stages to g...
Prithwijit Guha, Pradeep Vaghela, Pabitra Mitra, K...
ICIAR
2005
Springer
15 years 3 months ago
Real-Time and Robust Background Updating for Video Surveillance and Monitoring
Abstract. Background updating is an important aspect of dynamic scene analysis. Two critical problems: sudden camera perturbation and the sleeping person problem, which arise frequ...
Xingzhi Luo, Suchendra M. Bhandarkar
75
Voted
ICIP
2008
IEEE
15 years 4 months ago
Motion detection with an unstable camera
Fast and accurate motion detection in the presence of camera jitter is known to be a difficult problem. Existing statistical methods often produce abundant false positives since ...
Pierre-Marc Jodoin, Janusz Konrad, Venkatesh Salig...
ECCV
2002
Springer
15 years 11 months ago
Model-Based Silhouette Extraction for Accurate People Tracking
Abstract. In this work, we introduce a model-based approach to extracting the silhouette of people in motion from stereo video sequences. To this end, we extend a purely stereo-bas...
Pascal Fua, Ralf Plänkers