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WACV
2005
IEEE
13 years 10 months ago
Dynamic Human Pose Estimation using Markov Chain Monte Carlo Approach
This paper addresses the problem of tracking human body pose in monocular video including automatic pose initialization and re-initialization after tracking failures caused by par...
Mun Wai Lee, Ramakant Nevatia
FGR
2006
IEEE
263views Biometrics» more  FGR 2006»
13 years 11 months ago
Robust Head Tracking Based on a Multi-State Particle Filter
This paper proposes a novel method for robust and automatic realtime head tracking by fusing face and head cues within a multi-state particle filter. Due to large appearance vari...
Yuan Li, Haizhou Ai, Chang Huang, Shihong Lao
PAMI
2008
235views more  PAMI 2008»
13 years 4 months ago
Dependent Multiple Cue Integration for Robust Tracking
We propose a new technique for fusing multiple cues to robustly segment an object from its background in video sequences that suffer from abrupt changes of both illumination and po...
Francesc Moreno-Noguer, Alberto Sanfeliu, Dimitris...
ICIP
2005
IEEE
14 years 6 months ago
Tracking multiple cells by correspondence resolution in a sequential Bayesian framework
We propose a multi-target tracking (MTT) algorithm in a sequential Bayesian framework that computes cell velocities from video microscopy. Unlike the traditional tracking methods,...
Nilanjan Ray, Gang Dong, Scott T. Acton
TIP
2002
126views more  TIP 2002»
13 years 4 months ago
A generic approach to simultaneous tracking and verification in video
In this paper, a generic approach to simultaneous tracking and verification in video data is presented. The approach is based on posterior density estimation using sequential Monte...
Baoxin Li, Rama Chellappa