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PAMI
2008
188views more  PAMI 2008»
13 years 4 months ago
Segmentation and Tracking of Multiple Humans in Crowded Environments
Segmentation and tracking of multiple humans in crowded situations is made difficult by interobject occlusion. We propose a model-based approach to interpret the image observations...
Tao Zhao, Ramakant Nevatia, Bo Wu
AMDO
2008
Springer
13 years 6 months ago
Real-Time 3D Body Pose Tracking from Multiple 2D Images
We present a human body motion tracking system for an interactive virtual simulation training environment. This system captures images using IR illumination and near-IR cameras to ...
Chi-Wei Chu, Ramakant Nevatia
CORR
2011
Springer
133views Education» more  CORR 2011»
12 years 8 months ago
An Extended Framework for Measuring the Information Capacity of the Human Motor System
—Fitts’ law is a fundamental tool in measuring the capacity of the human motor system. It measures information throughput in terms of the tradeoff between the speed and accurac...
Teemu Roos, Antti Oulasvirta
MVA
2002
186views Computer Vision» more  MVA 2002»
13 years 4 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...
CVPR
2010
IEEE
14 years 1 months ago
Tracking People Interacting with Objects
While the problem of tracking 3D human motion has been widely studied, most approaches have assumed that the person is isolated and not interacting with the environment. Environme...
Hedvig Kjellstrom, Michael Black, Danica Kragic