On Directional K-Coverage analysis of randomly deployed camera sensor networks Conference Paper

abstract

• Recently, smart surveillance is becoming a very important application of camera sensor networks. Most face recognition and tracking techniques employed in surveillance systems rely on the assumption of a frontal view of the human face. In order to detect the precise face orientation by cooperation among multiple cameras, we need to guarantee that each point in monitored region be covered by more than one camera. In this paper, we address the problem of Directional K-Coverage (DKC) in camera sensor networks. The DKC problem is different from that in conventional sensor networks due to the two aspects: directionality of sensing model and effective sensing. In particular, we propose a mathematical model to describe the relation among the number of cameras deployed randomly, the range of effective sensing angle, and the rate of directional K-coverage. Finally, we use simulations to show the effectiveness of deploying our model in practical scenarios. 2008 IEEE.

name of conference

• 2008 IEEE International Conference on Communications

authors

• Zhang, Xi

published proceedings

• 2008 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, PROCEEDINGS, VOLS 1-13

author list (cited authors)

• Liu, L., Ma, H., & Zhang, X. i.

citation count

• 40

complete list of authors

• Liu, Liang||Ma, Huadong||Zhang, Xi

publication date

• January 2008

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• 2013 National Conference on Communications, NCC 2013  Journal

keywords

• Camera Sensor Networks
• Directional K-coverage
• Directional Sensing Model
• Face Orientation Detection
• K-coverage

Digital Object Identifier (DOI)

• 10.1109/ICC.2008.511

International Standard Book Number (ISBN) 13

• 978-1-4244-2074-2

start page

• 2707

end page

• 2711

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2Ficc.2008.511