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UAI
2004
13 years 6 months ago
Recovering Articulated Object Models from 3D Range Data
We address the problem of unsupervised learning of complex articulated object models from 3D range data. We describe an algorithm whose input is a set of meshes corresponding to d...
Dragomir Anguelov, Daphne Koller, Hoi-Cheung Pang,...
ICPR
2008
IEEE
14 years 6 months ago
Geometric constraints on 2D action models for tracking human body
We propose a 2D model-based approach for tracking human body parts during articulated motion. A human is modeled as a stick figure with thirteen landmarks, and an action is a sequ...
Alexei Gritai, Arslan Basharat, Mubarak Shah
CVPR
2007
IEEE
14 years 7 months ago
Automatic Face Recognition from Skeletal Remains
The ability to determine the identity of a skull found at a crime scene is of critical importance to the law enforcement community. Traditional clay-based methods attempt to recon...
Carl Adrian, Nils Krahnstoever, Peter H. Tu, Phil ...
ECCV
2002
Springer
14 years 7 months ago
Automatic Detection and Tracking of Human Motion with a View-Based Representation
Abstract. This paper proposes a solution for the automatic detection and tracking of human motion in image sequences. Due to the complexity of the human body and its motion, automa...
Ronan Fablet, Michael J. Black
ACCV
1998
Springer
13 years 9 months ago
Automatic Detection and Tracking of Human Heads Using an Active Stereo Vision System
A head tracking system for automatically detecting and tracking human heads in complex backgrounds is developed. In this paper, two issues are addressed: the detection ofhumanhead...
Cheng-Yuan Tang, Yi-Ping Hung, Zen Chen