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VMV
2001
160views Visualization» more  VMV 2001»
13 years 8 months ago
A Multi-Sensor Object Localization System
This paper presents a localization and tracking system integrating multiple sensors. Object localization results from local sensor systems are fused using a decentralized Kalman f...
Sascha Spors, Rudolf Rabenstein, Norbert Strobel
AMFG
2003
IEEE
148views Biometrics» more  AMFG 2003»
14 years 20 days ago
Multi-Modal Face Tracking Using Bayesian Network
This paper presents a Bayesian network based multimodal fusion method for robust and real-time face tracking. The Bayesian network integrates a prior of second order system dynami...
Fang Liu, Xueyin Lin, Stan Z. Li, Yuanchun Shi
AVSS
2006
IEEE
13 years 11 months ago
Classification-Based Likelihood Functions for Bayesian Tracking
The success of any Bayesian particle filtering based tracker relies heavily on the ability of the likelihood function to discriminate between the state that fits the image well an...
Chunhua Shen, Hongdong Li, Michael J. Brooks
ISBI
2006
IEEE
14 years 8 months ago
Bayesian tracking for fluorescence microscopic imaging
Fluorescence microscopy is a powerful imaging tool for studying molecular dynamics in living cells. For quantitative motion analysis of subcellular structures robust and accurate ...
Ihor Smal, Wiro J. Niessen, Erik H. W. Meijering
ACCV
2007
Springer
14 years 1 months ago
Multi-camera People Tracking by Collaborative Particle Filters and Principal Axis-Based Integration
This paper presents a novel approach to tracking people in multiple cameras. A target is tracked not only in each camera but also in the ground plane by individual particle filter...
Wei Du, Justus H. Piater