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» Nonparametric Density Estimation for Human Pose Tracking
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BMCBI
2011
14 years 6 months ago
A novel approach to the clustering of microarray data via nonparametric density estimation
Background: Cluster analysis is a crucial tool in several biological and medical studies dealing with microarray data. Such studies pose challenging statistical problems due to di...
Riccardo De Bin, Davide Risso
3DPVT
2006
IEEE
147views Visualization» more  3DPVT 2006»
15 years 5 months ago
Constraint Integration for Multiview Pose Estimation of Humans with Self-Occlusions
Detection of articulated objects such as humans is an important task in computer vision. We present a system that incorporates a variety of constraints in a unified multiview fra...
Abhinav Gupta, Anurag Mittal, Larry S. Davis
CIMAGING
2009
265views Hardware» more  CIMAGING 2009»
15 years 24 days ago
Multi-object segmentation using coupled nonparametric shape and relative pose priors
We present a new method for multi-object segmentation in a maximum a posteriori estimation framework. Our method is motivated by the observation that neighboring or coupling objec...
Mustafa Gökhan Uzunbas, Octavian Soldea, M&uu...
ICCV
2007
IEEE
16 years 1 months ago
Shining a Light on Human Pose: On Shadows, Shading and the Estimation of Pose and Shape
Strong lighting is common in natural scenes yet is often viewed as a nuisance for object pose estimation and tracking. In human shape and pose estimation, cast shadows can be conf...
Alexandru O. Balan, Michael J. Black, Horst W. Hau...
JUCS
2010
265views more  JUCS 2010»
14 years 10 months ago
A General Framework for Multi-Human Tracking using Kalman Filter and Fast Mean Shift Algorithms
: The task of reliable detection and tracking of multiple objects becomes highly complex for crowded scenarios. In this paper, a robust framework is presented for multi-Human track...
Ahmed Ali, Kenji Terada