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CVPR
2011
IEEE
9 years 7 months ago
Real-time Human Pose Recognition in Parts from Single Depth Images
We propose a new method to quickly and accurately predict 3D positions of body joints from a single depth image, using no temporal information. We take an object recognition appro...
Jamie Shotton, Andrew Fitzgibbon, Mat Cook, Andrew...
ICRA
2010
IEEE
193views Robotics» more  ICRA 2010»
9 years 9 months ago
Real-time identification and localization of body parts from depth images
Abstract-- We deal with the problem of detecting and identifying body parts in depth images at video frame rates. Our solution involves a novel interest point detector for mesh and...
Christian Plagemann, Varun Ganapathi, Daphne Kolle...
ICPR
2010
IEEE
9 years 9 months ago
3D Human Body Modeling Using Range Data
For the 3D modeling of walking humans the determination of body pose and extraction of body parts, from the sensed 3D range data, are challenging image processing problems. Real b...
Koichiro Yamauchi, Bir Bhanu, Hideo Saito
MVA
2002
186views Computer Vision» more  MVA 2002»
9 years 11 months ago
Identifying Body Parts of Multiple People in Multi-Camera Images
In order to track and recognize the movements of multiple people using multiple cameras, each person needs to be segmented and identified in the image of each camera. We propose a...
Masafumi Tominaga, Hitoshi Hongo, Hiroyasu Koshimi...
SIAMIS
2008
292views more  SIAMIS 2008»
9 years 11 months ago
Topology Preserving Linear Filtering Applied to Medical Imaging
One of the central problems of medical imaging is the 3D visualization of body parts. The 3D volume can be viewed in slices, but the extraction of a part requires a segmentation p...
Antoni Buades, Aichi Chien, Jean-Michel Morel, Sta...
BMVC
1998
10 years 1 months ago
Gait Classification with HMMs for Trajectories of Body Parts Extracted by Mixture Densities
In this paper we describe a system for automatic gait analysis. Different kinds of human gait are recognized using sequences of grey
Dorthe Meyer, Josef Pösl, Heinrich Niemann
ICCV
1995
IEEE
10 years 3 months ago
3D Human Body Model Acquisition from Multiple Views
We present a novel motion-based approach for the part determination and shape estimation of a human’s body parts. The novelty of the technique is that neither a prior model of t...
Ioannis A. Kakadiaris, Dimitris N. Metaxas
CVPR
2006
IEEE
10 years 6 months ago
Measure Locally, Reason Globally: Occlusion-sensitive Articulated Pose Estimation
Part-based tree-structured models have been widely used for 2D articulated human pose-estimation. These approaches admit efficient inference algorithms while capturing the import...
Leonid Sigal, Michael J. Black
CVPR
2006
IEEE
10 years 6 months ago
Tracking of Multiple, Partially Occluded Humans based on Static Body Part Detection
Tracking of humans in videos is important for many applications. A major source of difficulty in performing this task is due to inter-human or scene occlusion. We present an appr...
Bo Wu, Ram Nevatia
EMMCVPR
2007
Springer
10 years 6 months ago
Bottom-Up Recognition and Parsing of the Human Body
Recognizing humans, estimating their pose and segmenting their body parts are key to high-level image understanding. Because humans are highly articulated, the range of deformation...
Praveen Srinivasan, Jianbo Shi
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