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
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)