339 search results - page 37 / 68 » Isomap Tracking with Particle Filtering |
114
Voted
CVPR
2005
IEEE
16 years 4 months ago
2005
IEEE
In this paper, we present a Bayesian framework for the fully automatic tracking of a variable number of interacting targets using a fixed camera. This framework uses a joint multi...
127
Voted
ICIP
2003
IEEE
16 years 4 months ago
2003
IEEE
In this paper, we define an observation model based on optical flow information to track objects using particle filter algorithms. Although the optical flow information enables us...
99
Voted
AMFG
2003
IEEE
15 years 7 months ago
2003
IEEE
This paper presents two techniques for improving human body tracking within the particle filtering scheme. Both techniques explore the use of auxiliary measurements. The first tec...
120
Voted
ICIAP
2007
ACM
16 years 2 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 ...
137
Voted
ICCV
2001
IEEE
16 years 4 months ago
2001
IEEE
We present a comprehensive treatment of 3D object tracking by posing it as a nonlinear state estimation problem. The measurements are derived using the outputs of shape-encoded fi...