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CLEAR
2007
Springer
180views Biometrics» more  CLEAR 2007»
14 years 1 months ago
Joint Bayesian Tracking of Head Location and Pose from Low-Resolution Video
Abstract. This paper presents a visual particle filter for jointly tracking the position of a person and her head pose. The resulting information may be used to support automatic ...
Oswald Lanz, Roberto Brunelli
ICASSP
2011
IEEE
12 years 11 months ago
Random finite set for data association in multiple camera tracking
Most methods for multiple camera tracking rely on accurate calibration to associate data from multiple cameras. However, it often is not easy to have an accurate calibration in so...
Nam Trung Pham, Richard Chang, Karianto Leman, Tec...
SIGMETRICS
2008
ACM
13 years 7 months ago
Ironmodel: robust performance models in the wild
Traditional performance models are too brittle to be relied on for continuous capacity planning and performance debugging in many computer systems. Simply put, a brittle model is ...
Eno Thereska, Gregory R. Ganger
CVPR
2012
IEEE
11 years 10 months ago
3D Constrained Local Model for rigid and non-rigid facial tracking
We present 3D Constrained Local Model (CLM-Z) for robust facial feature tracking under varying pose. Our approach integrates both depth and intensity information in a common frame...
Tadas Baltrusaitis, Peter Robinson, Louis-Philippe...
ICPR
2008
IEEE
14 years 2 months ago
Tracking human body by using particle filter Gaussian process Markov-switching model
The goal of this article is to present an effective and robust tracking algorithm for nonlinear feet motion by deploying particle filter integrated with Gaussian process latent v...
Jing Wang, Hong Man, Yafeng Yin