112 search results - page 11 / 23 » Likelihood Map Fusion for Visual Object Tracking |
BMVC
2000
13 years 9 months ago
2000
This paper presents a framework for directly addressing issues arising from self-occlusions and ambiguities due to the lack of depth information in vector-based representations. V...
IJCV
2002
13 years 7 months ago
2002
Abstract. A new, exemplar-based, probabilistic paradigm for visual tracking is presented. Probabilistic mechanisms are attractive because they handle fusion of information, especia...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
In this paper, we propose a novel method to localize (or track) a foreground object and segment the foreground object from the surrounding background with occlusions for a moving ...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
We present a dynamic inference algorithm in a globally parameterized nonlinear manifold and demonstrate it on the problem of visual tracking. An appearance manifold is usually non...
ICMCS
2007
IEEE
14 years 1 months ago
2007
IEEE
In this paper, we present a probabilistic algorithm for visual tracking that incorporates robust template matching and incremental subspace update. There are two template matching...