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
A survey of computer vision-based human motion capture
Computer Vision and Image Understanding - Modeling people toward vision-based underatanding of a person's shape, appearance, and movement
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
A novel framework for athlete training based on interactive motion editing and silhouette analysis
Proceedings of the ACM symposium on Virtual reality software and technology
Motion Analysis of Articulated Objects from Monocular Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Dynamo: dynamic, data-driven character control with adjustable balance
Proceedings of the 2006 ACM SIGGRAPH symposium on Videogames
Interaction capture and synthesis
SIGGRAPH '05 ACM SIGGRAPH 2005 Sketches
A survey of advances in vision-based human motion capture and analysis
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
Simulation of human motion for learning and recognition
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial 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
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Acquisition of large scale good quality training samples is becoming a major issue in machine learning based human motion analysis. This paper presents a method to simulate continuous gross human body motion with the intention to establish a human motion corpus for learning and recognition. The simulation is achieved by a temporal-spatialtemporal decomposition of human motion into actions, joint actions and actionlets based on the human kinematic model. The actionlet models the primitive moving phase of a joint and represents the muscle movement governed by kinesiological principles. Joint actions and body actions are constructed from actionlets through constrained concatenation and synchronization. Methods for concatenation and synchronization are proposed in this paper. An action corpus with small number of action vocabularies is created to verify the feasibility of the proposed method.