19 search results - page 4 / 4 » An Online Discriminative Approach to Background Subtraction |
ICMCS
2005
IEEE
14 years 2 months ago
2005
IEEE
Detecting objects of interest from a video sequence is a fundamental and critical task in automated visual surveillance. Those objects can either be moving or stationary. However,...
CVPR
2004
IEEE
14 years 10 months ago
2004
IEEE
Object detection with a learned classifier has been applied successfully to difficult tasks such as detecting faces and pedestrians. Systems using this approach usually learn the ...
ICCV
2007
IEEE
14 years 2 months ago
2007
IEEE
This paper treats tracking as a foreground/background classification problem and proposes an online semisupervised learning framework. Initialized with a small number of labeled ...
CVPR
2009
IEEE
15 years 3 months ago
2009
IEEE
In this paper we present an adaptive but robust object
detector for static cameras by introducing classifier grids.
Instead of using a sliding window for object detection we
pro...