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AMDO
2006
Springer
14 years 11 days 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
PAMI
2002
187views more  PAMI 2002»
13 years 8 months ago
Human Activity Recognition Using Multidimensional Indexing
In this paper, we develop a novel method for view-based recognition of human action/activity from videos. By observing just a few frames, we can identify the activity that takes pl...
Jezekiel Ben-Arie, Zhiqian Wang, Purvin Pandit, Sh...
CVPR
2004
IEEE
14 years 10 months ago
View Independent Human Body Pose Estimation from a Single Perspective Image
Recovering the 3D coordinates of various joints of the human body from an image is a critical first step for several model-based human tracking and optical motion capture systems....
Vasu Parameswaran, Rama Chellappa
ICCV
1999
IEEE
14 years 10 months ago
Classification of Human Body Motion
The classification of human body motion is a difficult problem. In particular, the automatic segmentation of sequences containing more than one class of motion is challenging. An ...
Jens Rittscher, Andrew Blake
ICIP
2001
IEEE
14 years 10 months ago
Tracking of human activities using shape-encoded particle propagation
We present an approach to tracking human activities in a monocular video. We model the human body by decomposing it into torso and limbs and use simple 3D shapes to approximate th...
Hankyu Moon, Rama Chellappa, Azriel Rosenfeld