Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/107658
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Type: Book chapter
Title: Large-scale camera topology mapping: application to re-identification
Author: Dick, A.
Hengel, A.
Detmold, H.
Citation: Person Re-Identification, 2014 / Gong, S., Cristani, M., Yan, S., Loy, C. (ed./s), Ch.19, pp.391-411
Publisher: Springer
Publisher Place: London
Issue Date: 2014
Series/Report no.: Advances in Computer Vision and Pattern Recognition
ISBN: 1447162951
9781447162957
Statement of
Responsibility: 
Anthony Dick, Anton van den Hengel and Henry Detmold
Abstract: In this chapter we describe the problem of camera network topology mapping, which is a critical precursor to person re-identification in large camera networks. After surveying previous approaches to this problem we describe “exclusion”, a practical, robust method for deriving a topology estimate that scales to thousands of cameras. We then consider re-identification within such networks by modelling and matching target appearance. By combining a simple appearance model with the topology estimate generated by exclusion, person re-identification can be accomplished within far larger scale networks than would be possible using appearance matching alone.
Rights: © Springer-Verlag London 2014
RMID: 0030045449
DOI: 10.1007/978-1-4471-6296-4_19
Published version: http://dx.doi.org/10.1007/978-1-4471-6296-4
Appears in Collections:Computer Science publications

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