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Person re-identification in multi-camera networks

: Jüngling, K.; Bodensteiner, C.; Arens, M.

IEEE Computer Society:
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2011 : Colorado Springs, USA, 21-25 June 2011
New York, NY: IEEE, 2011
ISBN: 1-4577-0529-X
ISBN: 978-1-4577-0529-8
Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) <2011, Colorado Springs/Colo.>
Conference Paper
Fraunhofer IOSB ()

In this paper, we approach the task of appearance based person re-identification for scenarios where no biometric features can be used. For that, we build on a person reidentification approach that uses the Implicit Shape Model (ISM) and SIFT features for re-identification. This approach builds identity models of persons during tracking and employs these models for re-identification. We apply this re-identification, which was until now only evaluated in the infrared spectrum, to data acquired in the visible spectrum. Furthermore we evaluate view independence of the re-identification approach and introduce methods that extend view invariance. Specifically, we (i) propose a method for online view-determination of a tracked person, (ii) use the online view-determination to generate view specific identity models of persons which increase model distinctiveness in re-identification, and (iii) introduce a method to convert identity models between views to increase view independence.