34 search results - page 4 / 7 » Improved Adaptive Mixture Learning for Robust Video Backgrou... |
CAIP
2003
Springer
14 years 25 days ago
2003
Springer
Video surveillance systems seek to automatically identify events of interest in a variety of situations. Extracting a moving object from background is the most important step of t...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
It has been previously demonstrated that systems based on block wise local features and Gaussian mixture models (GMM) are suitable for video based talking face verification due t...
CVPR
2009
IEEE
15 years 1 months ago
2009
IEEE
Cast shadows induced by moving objects often cause serious problems to many vision applications. We present in this paper an online statistical learning approach to model the backg...
FGR
2006
IEEE
14 years 1 months ago
2006
IEEE
In this work, we address a method that is able to track simultaneously 3D head movements and facial actions like lip and eyebrow movements in a video sequence. In a baseline frame...
MVA
2008
13 years 7 months ago
2008
To track objects in video sequences, many studies have been done to characterize the target with respect to its color distribution. Most often, the Gaussian Mixture Model (GMM) is ...