Rapidly Deployable Video Analysis Sensor units for wide area surveillance

Author

Rasheed, Z. ; Taylor, G. ; Yu, L. ; Lee, M. ; Choe, T. ; Guo, F. ; Hakeem, A. ; Ramnath, Krishnan ; Smith, M. ; Kanaujia, A. ; Eubanks, D. ; Haering, N.

fYear

2010

fDate

13-18 June 2010

Firstpage

41

Lastpage

48

Abstract

This paper presents an overview of self-contained automated video analytics units that are man-portable and constitute nodes of a large-scale distributed sensor network. The paper highlights issues with traditional video surveillance systems in volatile environments such as a battle field and provides solutions to them in the form of Rapidly Deployable Video Analysis sensors. We discuss scientific and engineering aspects of the system and present the outcome of a field deployment in an exercise conducted by the Office of Naval Research.

Keywords

image sensors; sensor placement; video surveillance; wireless sensor networks; deployable video analysis sensor; large scale distributed sensor network; naval research office; self contained automated video analytics unit; wide area video surveillance; Cameras; Hardware; Image analysis; Intelligent networks; Intelligent sensors; Performance analysis; Personnel; Robustness; Sensor systems; Video surveillance;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Vision and Pattern Recognition Workshops (CVPRW), 2010 IEEE Computer Society Conference on

Conference_Location

San Francisco, CA

ISSN

2160-7508

Print_ISBN

978-1-4244-7029-7

Type

conf

DOI

10.1109/CVPRW.2010.5543799

Filename

5543799