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» Multiple Object Tracking with Kernel Particle Filter
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ICCV
2003
IEEE
14 years 9 months ago
Tracking Articulated Body by Dynamic Markov Network
A new method for visual tracking of articulated objects is presented. Analyzing articulated motion is challenging because the dimensionality increase potentially demands tremendou...
Ying Wu, Gang Hua, Ting Yu
ICIP
2006
IEEE
14 years 9 months ago
A Hierarchical ASM/AAM Approach in a Stochastic Framework for Fully Automatic Tracking and Recognition
This paper deals with the fully automatic extraction of classifiable person features out of a video stream with challenging background. Basically the task can be split in two part...
Andre Störmer, Gerhard Rigoll, Sascha Schreib...
DAGM
2003
Springer
14 years 25 days ago
Color-Based Object Tracking in Multi-camera Environments
This paper presents a multi-view tracker, meant to operate in smart rooms that are equipped with multiple cameras. The cameras are assumed to be calibrated3 . In particular, we dem...
Katja Nummiaro, Esther Koller-Meier, Tomás ...
MVA
2006
110views Computer Vision» more  MVA 2006»
13 years 7 months ago
Tracking the activity of participants in a meeting
A vision system suitable for a smart meeting room able to analyse the activities of its occupants is described. Multiple people were tracked using a particle filter in which sampl...
Hammadi Nait-Charif, Stephen J. McKenna
ROBOCUP
2007
Springer
180views Robotics» more  ROBOCUP 2007»
14 years 1 months ago
Improving Robot Self-localization Using Landmarks' Poses Tracking and Odometry Error Estimation
In this article the classical self-localization approach is improved by estimating, independently from the robot’s pose, the robot’s odometric error and the landmarks’ poses....
Pablo Guerrero, Javier Ruiz-del-Solar