957 search results - page 3 / 192 » Tracking by Sampling Trackers |
ECCV
2000
Springer
14 years 7 months ago
2000
Springer
A new probabilistic background model based on a Hidden Markov Model is presented. The hidden states of the model enable discrimination between foreground, background and shadow. Th...
ICIAP
2007
ACM
14 years 5 months ago
2007
ACM
To become robust, a tracking algorithm must be able to support uncertainty and ambiguity often inherently present in the data in form of occlusion and clutter. This comes usually ...
MVA
2006
13 years 5 months ago
2006
A vision system suitable for a smart meeting room able to analyse the activities of its occupants is described. Multiple people were tracked using a particle filter in which sampl...
ICCV
2007
IEEE
13 years 12 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
2005
IEEE
13 years 11 months ago
2005
IEEE
The paper proposes a method to keep the tracker robust to background clutters by online selecting discriminative features from a large feature space. Furthermore, the feature sele...