303 search results - page 17 / 61 » An Adaptive Bayesian Technique for Tracking Multiple Objects |
AVSS
2006
IEEE
14 years 1 months ago
2006
IEEE
Extracting meaningful 3D human motion information from video sequences is of interest for applications like intelligent humancomputer interfaces, biometrics, video browsing and ind...
BMVC
2001
13 years 10 months ago
2001
This paper addresses the problem of using appearance and motion models in classifying and tracking objects when detailed information of the object’s appearance is not available....
ICIP
2005
IEEE
14 years 9 months ago
2005
IEEE
In this paper we present a probabilistic framework for tracking objects based on local dynamic segmentation. We view the segn to be a Markov labeling process and abstract it as a ...
CVPR
2004
IEEE
14 years 9 months ago
2004
IEEE
Kernel-based objective functions optimized using the mean shift algorithm have been demonstrated as an effective means of tracking in video sequences. The resulting algorithms com...
CVPR
1999
IEEE
14 years 9 months ago
1999
IEEE
The task of multi-camera surveillance is to reconstruct the paths taken by all moving objects that are temporarily visible from multiple non-overlapping cameras. We present a Baye...