Referenced Items are not available for this document.
This paper presents a method for recognizing human actions in a multi-camera setup. The proposed method automatically extracts significant points on the human body, without the need of artificial markers. A sophisticated appearance-based tracking able to cope with occlusions is exploited to extract a probability map for each moving object. A segmentation technique based on mixture of Gaussians is then employed to extract and track significant points on this map, corresponding to significant regions on the human silhouette. The point tracking produces a set of 3D trajectories that are compared with other trajectories by means of global alignment and dynamic programming techniques. Preliminary experiments showed the potentiality of the proposed approach.
Published in:
Distributed Smart Cameras, 2008. ICDSC 2008. Second ACM/IEEE International Conference on
Date of Conference: 7-11 Sept. 2008
- Page(s):
- 1 - 8
- E-ISBN :
- 978-1-4244-2665-2
- Print ISBN:
- 978-1-4244-2664-5
- INSPEC Accession Number:
- 10287788
- Conference Location :
- Stanford, CA
- Digital Object Identifier :
- 10.1109/ICDSC.2008.4635691
- Product Type:
- Conference Publications
About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.
