83 search results - page 6 / 17 » A Probabilistic Exclusion Principle for Tracking Multiple Ob... |
ECCV
2010
Springer
13 years 7 months ago
2010
Springer
Tracking multiple objects is important in many application domains. We propose a novel algorithm for multi-object tracking that is capable of working under very challenging conditi...
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...
CVPR
2004
IEEE
14 years 9 months ago
2004
IEEE
Most tracking algorithms are based on the maximum a posteriori (MAP) solution of a probabilistic framework called Hidden Markov Model, where the distribution of the object state a...
CVPR
1999
IEEE
14 years 9 months ago
1999
IEEE
This paper describes a probabilistic multiple-hypothesis framework for tracking highly articulated objects. In this framework, the probability density of the tracker state is repr...
ICRA
2006
IEEE
14 years 1 months ago
2006
IEEE
Abstract— Robots need to track object. Object tracking efficiency completely depends on the accuracy of the motion model and of the sensory information. Interestingly, when mult...