Abstract
Our aim is to put on a short play featuring a real actor and a virtual actor, who will communicate through movements and choreography with mutual synchronization. Although the theatrical context is a good ground for multimodal communication between human and virtual actors, this paper will mainly deal with the ability to perceive the gestures of a real actor. During the performance, our goal is to match real-time observation with recorded examples. The recognition event will be sent to a virtual actor which reply with its own movements. We follow an approach similar to that proposed by [1] or [2]. They made the assumption that the first phase is to summarize the variation of the movement into a symbolic description. Then, the recognition phase is performed when a new trajectory is consistent with this description. The main section will describe our method of creating a signature from gestural data and the recognition system in real-time flow. To conclude, we shall present some results.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Campbell, L.W., Bobick, A.: Recognition of human body motion using phase space constraints. In: Fifth International Conference on Computer Vision, 1995, pp. 624–630 (1995)
Bobick, A., Wilson, A.: A state-based technique for the summarization and recognition of gesture. ICCV 00, 382 (1995)
Vasilescu, M.A.O.: Human motion signatures: Analysis, synthesis, recognition. In: ICPR 2002: Proceedings of the 16 th International Conference on Pattern Recognition (ICPR 2002), Washington, DC, USA, vol. 3, p. 30456. IEEE Computer Society, Los Alamitos (2002)
Forbes, K., Fiume, E.: An efficient search algorithm for motion data using weighted pca. In: SCA 2005: Proceedings of the 2005 ACM SIGGRAPH/Eurographics symposium on Computer animation, pp. 67–76. ACM, New York (2005)
Kim, D., Song, J., Kim, D.: Simultaneous gesture segmentation and recognition based on forward spotting accumulative hmms. Pattern Recogn. 40(11), 3012–3026 (2007)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Billon, R., Nédélec, A., Tisseau, J. (2008). Gesture Recognition in Flow in the Context of Virtual Theater. In: Prendinger, H., Lester, J., Ishizuka, M. (eds) Intelligent Virtual Agents. IVA 2008. Lecture Notes in Computer Science(), vol 5208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85483-8_48
Download citation
DOI: https://doi.org/10.1007/978-3-540-85483-8_48
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85482-1
Online ISBN: 978-3-540-85483-8
eBook Packages: Computer ScienceComputer Science (R0)