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» Recovering 3D Human Pose from Monocular Images
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ECCV
2006
Springer
15 years 11 months ago
Multivariate Relevance Vector Machines for Tracking
This paper presents a learning based approach to tracking articulated human body motion from a single camera. In order to address the problem of pose ambiguity, a one-to-many mappi...
Arasanathan Thayananthan, Ramanan Navaratnam, Bj&o...
AMDO
2006
Springer
15 years 1 months ago
Acquisition of Articulated Human Body Models Using Multiple Cameras
Abstract. Motion capture is an important application in different areas such as biomechanics, computer animation, and human-computer interaction. Current motion capture methods typ...
Aravind Sundaresan, Rama Chellappa
ECCV
2008
Springer
15 years 11 months ago
Articulated Multi-body Tracking under Egomotion
In this paper, we address the problem of 3D articulated multi-person tracking in busy street scenes from a moving, human-level observer. In order to handle the complexity of multi-...
Stephan Gammeter, Andreas Ess, Tobias Jaeggli, Kon...
CVPR
2008
IEEE
15 years 11 months ago
A general solution to the P4P problem for camera with unknown focal length
This paper presents a general solution to the determination of the pose of a perspective camera with unknown focal length from images of four 3D reference points. Our problem is a...
Martin Bujnak, Tomás Pajdla, Zuzana Kukelov...
FGR
2008
IEEE
260views Biometrics» more  FGR 2008»
15 years 4 months ago
On the sustained tracking of human motion
In this paper, we propose an algorithm for sustained tracking of humans, where we combine frame-to-frame articulated motion estimation with a per-frame body detection algorithm. T...
Yaser Sheikh, Ankur Datta, Takeo Kanade