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ICMCS
2006
IEEE
215views Multimedia» more  ICMCS 2006»
13 years 10 months ago
Experiential Sampling based Foreground/Background Segmentation for Video Surveillance
Segmentation of foreground and background has been an important research problem arising out of many applications including video surveillance. A method commonly used for segmenta...
Pradeep K. Atrey, Vinay Kumar, Anurag Kumar, Mohan...
ICMCS
2007
IEEE
195views Multimedia» more  ICMCS 2007»
13 years 11 months ago
Robust People Detection and Tracking in a Multi-Camera Indoor Visual Surveillance System
In this paper we describe the analysis component of an indoor, real-time, multi-camera surveillance system. The analysis includes: (1) a novel feature-level foreground segmentatio...
Tao Yang, Francine Chen, Don Kimber, Jim Vaughan
AMDO
2006
Springer
13 years 8 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...
ICIP
1994
IEEE
14 years 6 months ago
Robust Optical Flow Estimation
Motion information is essential in many computer vision and video analysis tasks. Since MPEG is still one of the most prevalent formats for representing, transferring and storing ...
Sugata Ghosal, Rajiv Mehrotra
CVPR
2008
IEEE
13 years 11 months ago
A Loopy Belief Propagation approach for robust background estimation
Background estimation, i.e. automatic recovery of the background image from a sequence of images containing moving foreground objects, is an important module in many applications,...
Xun Xu, Thomas S. Huang