Abstract
This paper describes a real-time human action recognition system that can track multiple persons and recognize distinct human actions through image sequences acquired from a single fixed camera. In particular, when given an image, the system segments blobs by using the Mixture of Gaussians algorithm with a hierarchical data structure. In addition, the system tracks people by estimating the state to which each blob belongs and assigning people according to its state. We then make motion history images for tracked people and recognize actions by using a multi-layer perceptron. The results confirm that we achieved a high recognition rate for the five actions of walking, running, sitting, standing, and falling though each subject performed each action in a slightly different manner. The results also confirm that the proposed system can cope in real time with multiple persons.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Aggarwal, J.K., Cai, Q.: Human Motion Analysis: A Review. Computer Vision and Image Understanding: CVIU 73(3), 428–440 (1999)
Park, J., Tabb, A., Kak, A.C.: Hierarchical Data Structure for Real-Time Background Subtraction. In: IEEE International Conference on Image Processing (2006)
Bobick, A., Davis, J.: The recognition of human movement using temporal templates. IEEE Trans. Patt. Analy. And Mach. Intell. 23(3), 257–267 (2001)
Yilmaz, A., Javed, O., Shah, M.: Object Tracking: A Survey. In: ACM Computing Surveys, December 2006, vol. 38(4) (2006)
Huang, Y., Essa, I.: Tracking Multiple Objects Through Occlusions. In: CVPR 2005, San Diego, CA (June 2005)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Choi, J., Cho, Yi., Han, T., Yang, H.S. (2008). A View-Based Real-Time Human Action Recognition System as an Interface for Human Computer Interaction. In: Wyeld, T.G., Kenderdine, S., Docherty, M. (eds) Virtual Systems and Multimedia. VSMM 2007. Lecture Notes in Computer Science, vol 4820. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78566-8_10
Download citation
DOI: https://doi.org/10.1007/978-3-540-78566-8_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-78565-1
Online ISBN: 978-3-540-78566-8
eBook Packages: Computer ScienceComputer Science (R0)