A global human walking model with real-time kinematic personification
The Visual Computer: International Journal of Computer Graphics - Special issue on computer animation 1989/90
Efficient synthesis of physically valid human motion
ACM SIGGRAPH 2003 Papers
Motion Data Correction and Extrapolation Using Physical Constraints
IV '05 Proceedings of the Ninth International Conference on Information Visualisation
Motion Analysis of Articulated Objects from Monocular Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
A survey on visual surveillance of object motion and behaviors
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
IEEE Transactions on Circuits and Systems for Video Technology
Action Generator Based on Primitive Actions and Individual Properties
KES-AMSTA '09 Proceedings of the Third KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
Human motion simulation and action corpus
ICDHM'07 Proceedings of the 1st international conference on Digital human modeling
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Acquisition of good quality training samples is becoming a major issue in machine learning based human motion analysis. This paper presents a method to simulate human body motion with the intention to establish a human motion corpus for learning and recognition. The simulation is achieved by a unique temporal-spatial-temporal decomposition of human body motion into actions, joint actions and actionlets based on the human kinematic model. The actionlet models the primitive moving phase of a joint and can be simulated based on the kinesiological study. A joint action is formed by proper concatenation of actionlets and an action is a group of synchronized joint actions. Methods for concatenation and synchronization are proposed in this paper for realistic simulation of human motion. Results on simulating ”running” verifies the feasibility of the proposed method.