DocumentCode
2827605
Title
Where is It? Object Reacquisition in Surveillance Video
Author
Campbell-West, Fabian ; Wang, Hongbin ; Miller, Paul
Author_Institution
Inst. of Electron., Commun. & Inf. Technol., Queen´´s Univ. Belfast, Belfast
fYear
2008
fDate
3-5 Sept. 2008
Firstpage
182
Lastpage
187
Abstract
We investigate the novel use of online PCA as a means of learning an object representation for track reacquisition following relatively long periods of track loss. A new Bayesian formulation for object verification is presented and correct track reacquisition is demonstrated for vehicles in ground- and air-based video. Video based object verification in airborne video is a new area, which uniquely positions this work.
Keywords
Bayes methods; image representation; object detection; principal component analysis; video surveillance; Bayesian formulation; object reacquisition; object representation; object verification; online PCA; surveillance video; track reacquisition; vehicles; Authentication; Bayesian methods; Face recognition; Layout; Machine vision; Object detection; Phase detection; Surveillance; Testing; Vehicle dynamics; airborne video; online object reacquisition;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Vision and Image Processing Conference, 2008. IMVIP '08. International
Conference_Location
Portrush
Print_ISBN
978-0-7695-3332-2
Type
conf
DOI
10.1109/IMVIP.2008.23
Filename
4624404
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