Presentado a la International Conference in Computer Graphics and Artificial Intelligence (3IA), 2007, Athens (Greece). ; This paper presents a complete framework to automatically generate synthetic image sequences by designing and simulating complex human behaviors in virtual environments. Given an initial state of a virtual agent, a simulation process generates posterior synthetic states by means of precomputed human motion and behavior models, taking into account the relationships of such an agent w.r.t its environment at each frame step. The resulting status sequence is further visualized into a virtual scene using a 3D graphic engine. Conceptual knowledge about human behavior patterns is represented using the Situation Graph Tree formalism and a rule-based inference system called F-Limette. Results obtained are very helpful for testing human interaction with real environments, such as a pedestrian crossing scenario, and for virtual storytelling, to automatically generate animated sequences. ; This work was supported by the project 'Integration of robust perception, learning, and navigation systems in mobile robotics' (J-0929). ; This work has been supported by EC grants IST-027110 for the HERMES project and IST-045547 for the VIDI-Video project, and by the Spanish MEC under projects TIN2006-14606 and DPI-2004-5414. Jordi Gonzàlez also acknowledges the support of a Juan de la Cierva Postdoctoral fellowship from the Spanish MEC. ; Peer Reviewed
Automatic generation of computer animated sequences based on human behaviour modelling
2007-01-01
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
DDC: | 629 |
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