Abstract
In many scenarios a scene is filmed by multiple video cameras located at different viewing positions. The difficulty in watching multiple views simultaneously raises an immediate question - which cameras capture better views of the dynamic scene? When one can only display a single view (e.g. in TV broadcasts) a human producer manually selects the best view. In this paper we propose a method for evaluating the quality of a view, captured by a single camera. This can be used to automate viewpoint selection. We regard human actions as three-dimensional shapes induced by their silhouettes in the space-time volume. The quality of a view is evaluated by incorporating three measures that capture the visibility of the action provided by these space-time shapes. We evaluate the proposed approach both qualitatively and quantitatively.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Assa, J., Cohen-Or, D., Yeh, I., Lee, T.: Motion overview of human actions. In: International Conference on Computer Graphics and Interactive Techniques. ACM, New York (2008)
Assa, J., Wolf, L., Cohen-Or, D.: The Virtual Director: a Correlation-Based Online Viewing of Human Motion. In: Eurographics (2010)
Attneave, F.: Some informational aspects of visual perception. Psychological review 61, 183–193 (1954)
Bobick, A.F., Davis, J.W.: The recognition of human movement using temporal templates. IEEE Transaction on Pattern Analysis and Machine Intelligence 23, 257–267 (2001)
Bordoloi, U., Shen, H.: View selection for volume rendering. IEEE Visualization 5, 487–494 (2005)
Christie, M., Olivier, P., Normand, J.: Camera control in computer graphics. Computer Graphics Forum 27, 2197–2218 (2008)
El-Alfy, H., Jacobs, D., Davis, L.: Assigning cameras to subjects in video surveillance systems. In: Proceedings of the 2009 IEEE International Conference on Robotics and Automation, pp. 3623–3629. Institute of Electrical and Electronics Engineers Inc. (2009)
Feldman, J., Singh, M.: Information along contours and object boundaries. Psychological Review 112, 243–252 (2005)
Gorelick, L., Blank, M., Shechtman, E., Irani, M., Basri, R.: Actions as Space-Time Shapes. Transactions on Pattern Analysis and Machine Intelligence 29, 2247–2253 (2007)
Goshorn, R., Goshorn, J., Goshorn, D., Aghajan, H.: Architecture for cluster-based automated surveillance network for detecting and tracking multiple persons. In: 1st Int. Conf. on Distributed Smart Cameras, ICDSC (2007)
(IXMAS), http://charibdis.inrialpes.fr
Johansson, G.: Visual perception of biological motion and a model for its analysis. Perceiving Events and Objects (1973)
Junejo, I., Dexter, E., Laptev, I., Pérez, P.: View-Independent Action Recognition from Temporal Self-Similarities. IEEE Transactions on Pattern Analysis and Machine Intelligence (2010)
Kindlmann, G., Whitaker, R., Tasdizen, T., Moller, T.: Curvature-based transfer functions for direct volume rendering: Methods and applications. In: Proceedings of the 14th IEEE Visualization 2003, vol. 67. IEEE Computer Society, Los Alamitos (2003)
Krahnstoever, N., Yu, T., Lim, S., Patwardhan, K., Tu, P.: Collaborative Real-Time Control of Active Cameras in Large Scale Surveillance Systems. In: Workshop on Multi-camera and Multi-modal Sensor Fusion Algorithms and Applications-M2SFA2 (2008)
Lee, C., Varshney, A., Jacobs, D.: Mesh saliency. ACM Transactions on Graphics 24, 659–666 (2005)
Mudge, M., Ryan, N., Scopigno, R.: Viewpoint quality and scene understanding. In: Vast 2005, p. 67 (2005)
Tran, D., Sorokin, A.: Human activity recognition with metric learning. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part I. LNCS, vol. 5302, pp. 548–561. Springer, Heidelberg (2008)
Vazquez, P., Feixas, M., Sbert, M., Heidrich, W.: Automatic view selection using viewpoint entropy and its application to image-based modelling. Computer Graphics Forum 22, 689–700 (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Rudoy, D., Zelnik-Manor, L. (2011). Posing to the Camera: Automatic Viewpoint Selection for Human Actions. In: Kimmel, R., Klette, R., Sugimoto, A. (eds) Computer Vision – ACCV 2010. ACCV 2010. Lecture Notes in Computer Science, vol 6495. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19282-1_25
Download citation
DOI: https://doi.org/10.1007/978-3-642-19282-1_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19281-4
Online ISBN: 978-3-642-19282-1
eBook Packages: Computer ScienceComputer Science (R0)