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» Tracking objects in video using motion and appearance models
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AMDO
2006
Springer
13 years 10 months ago
Combined Head, Lips, Eyebrows, and Eyelids Tracking Using Adaptive Appearance Models
The ability to detect and track human heads and faces in video sequences is useful in a great number of applications, such as human-computer interaction and gesture recognition. Re...
Fadi Dornaika, Javier Orozco, Jordi Gonzàle...
ICRA
2009
IEEE
163views Robotics» more  ICRA 2009»
14 years 1 months ago
Markerless human motion tracking with a flexible model and appearance learning
— A new approach to the 3D human motion tracking problem is proposed, which combines several particle filters with a physical simulation of a flexible body model. The flexible...
Florian Hecht, Pedram Azad, Rüdiger Dillmann
CVPR
2007
IEEE
14 years 8 months ago
On-the-fly Object Modeling while Tracking
To implement a persistent tracker, we build a set of viewdependent object appearance models adaptively and automatically while tracking an object under different viewing angles. T...
Zhaozheng Yin, Robert T. Collins
ICCV
2009
IEEE
13 years 4 months ago
Segmentation, ordering and multi-object tracking using graphical models
In this paper, we propose a unified graphical-model framework to interpret a scene composed of multiple objects in monocular video sequences. Using a single pairwise Markov random...
Chaohui Wang, Martin de La Gorce, Nikos Paragios
ECCV
2006
Springer
14 years 8 months ago
Real-Time Non-rigid Shape Recovery Via Active Appearance Models for Augmented Reality
One main challenge in Augmented Reality (AR) applications is to keep track of video objects with their movement, orientation, size, and position accurately. This poses a challengin...
Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu