957 search results - page 139 / 192 » Tracking by Sampling Trackers |
ECCV
2000
Springer
14 years 10 months ago
2000
Springer
A probabilistic method for tracking 3D articulated human figures in monocular image sequences is presented. Within a Bayesian framework, we define a generative model of image appea...
ICIP
2007
IEEE
14 years 10 months ago
2007
IEEE
This paper introduces a framework to track 3D human movement using Gaussian process dynamic model (GPDM) and particle filter. The framework combines the particle filter and discri...
ICIP
2003
IEEE
14 years 10 months ago
2003
IEEE
We present a probabilistic method for audio-visual (AV) speaker tracking, using an uncalibrated wide-angle camera and a microphone array. The algorithm fuses 2-D object shape and ...
ICPR
2008
IEEE
14 years 10 months ago
2008
IEEE
Object tracking is one of the most important tasks in computer vision. The unscented particle filter algorithm has been extensively used to tackle this problem and achieved a grea...
ICPR
2002
IEEE
14 years 10 months ago
2002
IEEE
Humans are articulated objects composed of non-rigid parts. We are interested in detecting and tracking human motions over various periods of time. In this paper we describe a met...