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» Collaborative particle filters for group tracking
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FGR
2004
IEEE
105views Biometrics» more  FGR 2004»
13 years 11 months ago
Particle Filtering with Factorized Likelihoods for Tracking Facial Features
In the recent years particle filtering has been the dominant paradigm for tracking facial and body features, recognizing temporal events and reasoning in uncertainty. A major prob...
Ioannis Patras, Maja Pantic
ICPR
2006
IEEE
14 years 8 months ago
Real-Time Camera Tracking Using Known 3D Models and a Particle Filter
We present an algorithm which can track the 3D pose of a hand held camera in real-time using predefined models of objects in the scene. The technique utilises and extends recently...
Mark Pupilli, Andrew Calway
FGR
2006
IEEE
263views Biometrics» more  FGR 2006»
14 years 1 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
ICIAP
2009
ACM
14 years 8 months ago
Pathnodes Integration of Standalone Particle Filters for People Tracking on Distributed Surveillance Systems
In this paper, we present a new approach to object tracking based on batteries of particle filter working in multicamera systems with non overlapped fields of view. In each view th...
Roberto Vezzani, Davide Baltieri, Rita Cucchiara
ICPR
2008
IEEE
14 years 8 months ago
Robust tracking of spatial related components
This paper introduces a hierarchical approach for multicomponent tracking, where the object-to-be-tracked is modeled as a group of spatial related parts. We propose to use a robus...
Horst Bischof, Michael Donoser, Thomas Mauthner