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CVPR
2005
IEEE
16 years 3 months ago
Robust and Efficient Foreground Analysis for Real-Time Video Surveillance
We present a new method to robustly and efficiently analyze foreground when we detect background for a fixed camera view by using mixture of Gaussians models and multiple cues. Th...
Ying-li Tian, Max Lu, Arun Hampapur
CAIP
2007
Springer
217views Image Analysis» more  CAIP 2007»
15 years 7 months ago
Mixture Models Based Background Subtraction for Video Surveillance Applications
— Background subtraction is a method commonly used to segment objects of interest in image sequences. By comparing new frames to a background model, regions of interest can be fo...
Chris Poppe, Gaëtan Martens, Peter Lambert, R...
ECCV
2000
Springer
16 years 3 months ago
Non-parametric Model for Background Subtraction
Abstract. Background subtraction is a method typically used to segment moving regions in image sequences taken from a static camera by comparing each new frame to a model of the sc...
Ahmed M. Elgammal, David Harwood, Larry S. Davis
CVPR
2005
IEEE
15 years 3 months ago
Fast Illumination-Invariant Background Subtraction Using Two Views: Error Analysis, Sensor Placement and Applications
Background modeling and subtraction to detect new or moving objects in a scene is an important component of many intelligent video applications. Compared to a single camera, the u...
Ser-Nam Lim, Anurag Mittal, Larry S. Davis, Nikos ...
ICIP
2010
IEEE
14 years 11 months ago
Stationary foreground detection using background subtraction and temporal difference in video surveillance
In this paper we describe a new algorithm focused on obtaining stationary foreground regions, which is useful for applications like the detection of abandoned/stolen objects and p...
Álvaro Bayona, Juan C. SanMiguel, Jos&eacut...