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
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;
Conference_Titel :
Machine Vision and Image Processing Conference, 2008. IMVIP '08. International
Conference_Location :
Portrush
Print_ISBN :
978-0-7695-3332-2
DOI :
10.1109/IMVIP.2008.23
