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» Building Adaptive Camera Models for Video Surveillance
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VIS
2007
IEEE
164views Visualization» more  VIS 2007»
15 years 10 months ago
Contextualized Videos: Combining Videos with Environment Models to Support Situational Understanding
Multiple spatially-related videos are increasingly used in security, communication, and other applications. Since it can be difficult to understand the spatial relationships betwee...
Yi Wang, David A. Krum, Enylton M. Coelho, Doug...
CVPR
2000
IEEE
15 years 1 months ago
Error Analysis of Background Adaption
Background modeling is a common component in video surveillance systems and is used to quickly identify regions of interest. To increase the robustness of background subtraction t...
Xiang Gao, Terrance E. Boult, Frans Coetzee, Visva...
IJPRAI
2008
235views more  IJPRAI 2008»
14 years 9 months ago
Shape-Based Individual/Group Detection for Sport Videos Categorization
We present a shape based method for automatic people detection and counting without any assumption or knowledge of camera motion. The proposed method is applied to athletic videos...
Costas Panagiotakis, Emmanuel Ramasso, Georgios Tz...
SPIEVIP
2010
14 years 12 months ago
Automatic scene activity modeling for improving object classification
In video surveillance, automatic methods for scene understanding and activity modeling can exploit the high redundancy of object trajectories observed over a long period of time. ...
Samuel Foucher, Marc Lalonde, Langis Gagnon
AMDO
2006
Springer
15 years 1 months ago
Efficient Incorporation of Motionless Foreground Objects for Adaptive Background Segmentation
In this paper, we want to exploit the knowledge obtained from those detected objects which are incorporated into the background model since they cease their movement. These motionl...
Ivan Huerta Casado, Daniel Rowe, Jordi Gonzà...