Sciweavers

Share
52 search results - page 1 / 11
» MAP Particle Selection in Shape-Based Object Tracking
Sort
View
ICIP
2007
IEEE
10 years 5 months ago
MAP Particle Selection in Shape-Based Object Tracking
The Bayesian filtering for recursive state estimation and the shape-based matching methods are two of the most commonly used approaches for target tracking. The Multiple Hypothesi...
Alessio Dore, Carlo S. Regazzoni, Mirko Musso
ROBOCUP
2004
Springer
117views Robotics» more  ROBOCUP 2004»
9 years 9 months ago
Map-Based Multiple Model Tracking of a Moving Object
In this paper we propose an approach for tracking a moving target using Rao-Blackwellised particle filters. Such filters represent posteriors over the target location by a mixtur...
Cody C. T. Kwok, Dieter Fox
ICIP
2009
IEEE
10 years 4 months ago
Online Subjective Feature Selection For Occlusion Management In Tracking Applications
Most of the state-of-the-art tracking algorithms are prone to error when dealing with occlusions, especially when the involved moving objects are hardly discernible in appearance....
ICIP
2005
IEEE
10 years 5 months ago
Off-line multiple object tracking using candidate selection and the Viterbi algorithm
This paper presents a probabilistic framework for off-line multiple object tracking. At each timestep, a small set of deterministic candidates is generated which is guaranteed to ...
Anil C. Kokaram, François Pitié, Roz...
AVSS
2009
IEEE
9 years 7 months ago
Regressed Importance Sampling on Manifolds for Efficient Object Tracking
In this paper, a new integrated particle filter is proposed for video object tracking. After particles are generated by importance sampling, each particle is regressed on the tran...
Fatih Porikli, Pan Pan
books