Title :
Interactive video surveillance by using environmental and mobile cameras
Author_Institution :
Univ. of Tsukuba, Tsukuba
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;
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
