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» GATMO: A Generalized Approach to Tracking Movable Objects
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ICIP
2008
IEEE
14 years 1 months ago
Multi-object tracking using binary masks
In this paper, we introduce a new method for tracking multiple objects. The method combines Kalman filtering and the Expectation Maximization (EM) algorithm in a novel way to dea...
Sami Huttunen, Janne Heikkilä
CIRA
2007
IEEE
179views Robotics» more  CIRA 2007»
14 years 1 months ago
Learning Tactic-Based Motion Models of a Moving Object with Particle Filtering
— Learning motion models of a moving object is a challenge for autonomous robots. We address the particular instance of parameter learning when tracking object motions in a switc...
Yang Gu, Manuela M. Veloso
GI
2009
Springer
13 years 5 months ago
Source Conflicts in Bayesian Identification
: In Bayesian identification an ID source is in conflict with the other ID sources, if both provide substantially different, reliable information on a tracked object. After discuss...
Max Krüger, David Hirschhäuser
CIVR
2009
Springer
229views Image Analysis» more  CIVR 2009»
14 years 1 months ago
A human-machine collaborative approach to tracking human movement in multi-camera video
Although the availability of large video corpora are on the rise, the value of these datasets remain largely untapped due to the difficulty of analyzing their contents. Automatic ...
Philip DeCamp, Deb Roy
FGR
2000
IEEE
230views Biometrics» more  FGR 2000»
13 years 11 months ago
A Robust Model-Based Approach for 3D Head Tracking in Video Sequences
We present a generic and robust method for model-based global 3D head pose estimation in monocular and non-calibrated video sequences. The proposed method relies on a 3D/2D matchi...
Marius Malciu, Françoise J. Prêteux