Interactive video surveillance by using environmental and mobile cameras

Author

Kitahara, Itaru

Author_Institution

Univ. of Tsukuba, Tsukuba

fYear

2008

Firstpage

1

Lastpage

6

Abstract

This paper introduces our researches aim to solve problems caused by increasing the number of surveillance cameras. ldquoViSErdquo is a semi-automatic surveillance system using multiple networked cameras to drastically reduce the burden of the operator who monitor the videos. The anonymizing video capturing system, ldquoStealth Visionrdquo can properly protect the privacy of target objects by fading out their appearance. We also research about a dynamically learning method for parametric eigenspace to realize an automated people identification system that accumulates knowledge of subjectspsila appearance as it captures surveillance videos.

Keywords

cameras; data privacy; interactive systems; learning (artificial intelligence); video surveillance; automated people identification system; dynamically learning method; environmental cameras; interactive video surveillance; mobile cameras; semi-automatic surveillance system; video capturing system; Cameras; Clothing; Humans; Learning systems; Monitoring; Privacy; Protection; Search engines; Streaming media; Video surveillance; Dynamically Learning; Environmental Camera; Interactive; Mobile Camera; People Identification; Privacy Protection; Video Monitoring; Video Surveillance; Visual Search Engine;

fLanguage

English

Publisher

ieee

Conference_Titel

Automation Congress, 2008. WAC 2008. World

Conference_Location

Hawaii, HI

Print_ISBN

978-1-889335-38-4

Electronic_ISBN

978-1-889335-37-7

Type

conf

Filename

4698976