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» Conditional models for contextual human motion recognition
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IROS
2007
IEEE
193views Robotics» more  IROS 2007»
14 years 3 months ago
Temporal segmentation and recognition of body motion data based on inter-limb correlation analysis
— A method for segmentation and recognition of human body behavior data is proposed. Recognition of human body movements is getting larger interests in robotic research field, s...
Toru Nakata
CVPR
2009
IEEE
14 years 16 days ago
Switching Gaussian Process Dynamic Models for simultaneous composite motion tracking and recognition
Traditional dynamical systems used for motion tracking cannot effectively handle high dimensionality of the motion states and composite dynamics. In this paper, to address both is...
Jixu Chen, Minyoung Kim, Yu Wang, Qiang Ji
ICCV
2003
IEEE
14 years 2 months ago
Markov-Based Failure Prediction for Human Motion Analysis
This paper presents a new method of detecting and predicting motion tracking failures with applications in human motion and gait analysis. We define a tracking failure as an event...
Shiloh L. Dockstader, Nikita S. Imennov, A. Murat ...
TCSV
2008
94views more  TCSV 2008»
13 years 8 months ago
Human Activity Recognition Based on Silhouette Directionality
Recent advances in computer vision and pattern recognition have fuelled numerous initiatives that aim to intelligently recognize human activities. In this paper, we propose an algo...
Meghna Singh, Anup Basu, Mrinal K. Mandal
CVPR
1997
IEEE
14 years 10 months ago
Learning Parameterized Models of Image Motion
A framework for learning parameterized models of optical flow from image sequences is presented. A class of motions is represented by a set of orthogonal basis flow fields that ar...
Michael J. Black, Yaser Yacoob, Allan D. Jepson, D...