ICIP
2008
IEEE
14 years 5 months ago
2008
IEEE
Background subtraction is an essential element in most object tracking and video surveillance systems. The success of this low-level processing step is highly dependent on the qua...
ICIP
2008
IEEE
14 years 5 months ago
2008
IEEE
Background Subtraction is a widely used approach to detect moving objects from static cameras. Many different methods have been proposed over the recent years and can be classifi...
ICASSP
2009
IEEE
14 years 6 months ago
2009
IEEE
Background subtraction is a crucial step in many automatic video content analysis applications. While numerous acceptable techniques have been proposed so far for background extra...
CVPR
2010
IEEE
14 years 7 months ago
2010
IEEE
We present a background model that differentiates between background motion and foreground objects. Unlike most models that represent the variability of pixel intensity at a partic...
ICPR
2000
IEEE
2000
IEEE
Detection and Location of People in Video Images Using Adaptive Fusion of Color and Edge Information
15 years 15 days ago
A new method of finding people in video images is presented. Detection is based on a novel background modeling and subtraction approach which uses both color and edge information....
ICPR
2002
IEEE
15 years 16 days ago
2002
IEEE
ICPR
2008
IEEE
15 years 19 days ago
2008
IEEE
Background subtraction is a popular technique in video surveillance. In order to use it, a background model must be built and updated according to light and scenario changes. We d...
ICIP
2003
IEEE
15 years 1 months ago
2003
IEEE
Background subtraction is an essential processing component for many video applications. However, its development has largely been application driven and done in ad hoc manners. I...
ICIP
2008
IEEE
15 years 1 months ago
2008
IEEE
This paper introduces a new feature-based technique for implicitly modelling objects in visual surveillance. Previous work has generally employed background subtraction and other ...
ICCV
2001
IEEE
15 years 1 months ago
2001
IEEE
Many motion detection and tracking algorithms rely on the process of background subtraction, a technique which detects changes from a model of the background scene. We present a n...