150 search results - page 1 / 30 » Probabilistic Classification Between Foreground Objects and ... |
ICPR
2004
IEEE
14 years 5 months ago
2004
IEEE
Tracking of deformable objects like humans is a basic operation in many surveillance applications. Objects are detected as they enter the field of view of the camera and they are ...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
Background subtraction is commonly used to detect foreground objects in video surveillance. Traditional background subtraction methods are usually based on the assumption that the...
CVPR
2006
IEEE
14 years 6 months ago
2006
IEEE
Tracking can be considered a two-class classification problem between the foreground object and its surrounding background. Feature selection to better discriminate object from ba...
ICASSP
2007
IEEE
13 years 11 months ago
2007
IEEE
Background modeling and subtraction is a fundamental task in many computer vision and video processing applications. We present a novel probabilistic background modeling and subtr...
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
“Ghosts” arise in traditional background subtraction when an object starts to move, causing the exposed background to be labelled as a ghost foreground. With background model ...