1401 search results - page 39 / 281 » Probabilistic Object Tracking Using Multiple Features |
ICCV
2009
IEEE
13 years 5 months ago
2009
IEEE
We propose a multi-object multi-camera framework for tracking large numbers of tightly-spaced objects that rapidly move in three dimensions. We formulate the problem of finding co...
ICARCV
2006
IEEE
14 years 1 months ago
2006
IEEE
— The Bayesian occupancy filter (BOF) [1] has achieved promising results in the object tracking applications. This paper presents a new development of BOF which inherits origina...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
A new particle filter, Kernel Particle Filter (KPF), is proposed for visual tracking for multiple objects in image sequences. The KPF invokes kernels to form a continuous estimate...
ICRA
1998
IEEE
13 years 12 months ago
1998
IEEE
We describe a model-based object tracking system that updates the configuration parameters of an object model based upon information gathered from a sequence of monocular images. ...
ICIP
2005
IEEE
14 years 9 months ago
2005
IEEE
We describe an enhanced method for the selection of optimal sensor actions in a probabilistic state estimation framework. We apply this to the selection of optimal focal lengths f...