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» Nonparametric Density Estimation for Human Pose Tracking
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SCIA
2007
Springer
108views Image Analysis» more  SCIA 2007»
15 years 7 months ago
Single View Motion Tracking by Depth and Silhouette Information
In this work1 a combination of depth and silhouette information is presented to track the motion of a human from a single view. Depth data is acquired from a Photonic Mixer Device ...
Daniel Grest, Volker Krüger, Reinhard Koch
CVPR
2008
IEEE
16 years 3 months ago
Generalised blurring mean-shift algorithms for nonparametric clustering
Gaussian blurring mean-shift (GBMS) is a nonparametric clustering algorithm, having a single bandwidth parameter that controls the number of clusters. The algorithm iteratively sh...
Miguel Á. Carreira-Perpiñán
DAGM
2004
Springer
15 years 6 months ago
Silhouette Based Human Motion Estimation
This paper proposes a system for model based human motion estimation. We start with a human model generation system, which uses a set of input images to automatically generate a f...
Bodo Rosenhahn, Reinhard Klette, Gerald Sommer
CVPR
2010
IEEE
15 years 9 months ago
An Object-Dependent Hand Pose Prior from Sparse Training Data
In this paper, we propose a prior for hand pose estimation that integrates the direct relation between a manipulating hand and a 3d object. This is of particular interest for a va...
Henning Hamer, Juergen Gall, Thibaut Weise, Luc Va...
ECCV
2006
Springer
16 years 3 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...