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» Tracking objects in video using motion and appearance models
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FGR
2000
IEEE
230views Biometrics» more  FGR 2000»
14 years 26 days 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
ICPR
2006
IEEE
14 years 9 months ago
Video Synchronization Based on Co-occurrence of Appearance Changes in Video Sequences
This paper presents a method for synchronizing multiple cameras from only the images captured by the cameras, assuming that they are not connected to an external clock signal sour...
Koichiro Deguchi, Manabu Ushizaki, Takayuki Okatan...
ICRA
2006
IEEE
121views Robotics» more  ICRA 2006»
14 years 2 months ago
Multi-model Tracking using Team Actuation Models
Abstract— Robots need to track object. Object tracking efficiency completely depends on the accuracy of the motion model and of the sensory information. Interestingly, when mult...
Yang Gu, Manuela M. Veloso
HRI
2006
ACM
14 years 2 months ago
Effective team-driven multi-model motion tracking
Autonomous robots use sensors to perceive and track objects in the world. Tracking algorithms use object motion models to estimate the position of a moving object. Tracking effic...
Yang Gu, Manuela M. Veloso
ICIP
2007
IEEE
14 years 10 months ago
Virtual Mirror: Real-Time Tracking of Shoes in Augmented Reality Environments
In this paper, we present a system that enhances the visualization of customized sports shoes using augmented reality techniques. Instead of viewing yourself in a real mirror, sop...
Jürgen Rurainsky, Peter Eisert, Philipp Fecht...