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IVC
2008
203views more  IVC 2008»
13 years 7 months ago
Multi-modal tracking using texture changes
We present a method for efficiently generating a representation of a multi-modal posterior probability distribution. The technique combines ideas from RANSAC and particle filterin...
Christopher Kemp, Tom Drummond
ECCV
2008
Springer
14 years 9 months ago
Online Tracking and Reacquisition Using Co-trained Generative and Discriminative Trackers
Visual tracking is a challenging problem, as an object may change its appearance due to viewpoint variations, illumination changes, and occlusion. Also, an object may leave the fie...
Gérard G. Medioni, Qian Yu, Thang Ba Dinh
PAMI
2010
238views more  PAMI 2010»
13 years 5 months ago
Tracking Motion, Deformation, and Texture Using Conditionally Gaussian Processes
—We present a generative model and inference algorithm for 3D nonrigid object tracking. The model, which we call G-flow, enables the joint inference of 3D position, orientation, ...
Tim K. Marks, John R. Hershey, Javier R. Movellan
CVPR
2001
IEEE
14 years 9 months ago
3D Head Tracking Using Motion Adaptive Texture-Mapping
We have developed a fast robust 3D head tracking system based on rendering a texture-mapped cylinder. In order to handle the variable frame-to-frame motion changes, the system use...
Lisa M. G. Brown
WSCG
2004
232views more  WSCG 2004»
13 years 8 months ago
Robust Tracking of Athletes Using Multiple Features of Multiple Views
This paper presents a robust and reconfigurable object tracker that integrates multiple visual features from multiple views. The tandem modular architecture stepwise refines the e...
Toshihiko Misu, Seiichi Gohshi, Yoshinori Izumi, Y...