Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/107658
Citations | ||
Scopus | Web of Science® | Altmetric |
---|---|---|
?
|
?
|
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), vol.56, 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 |
Editor: | Gong, S. Cristani, M. Yan, S. Loy, C. |
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 |
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: | Aurora harvest 3 Computer Science publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
RA_hdl_107658.pdf Restricted Access | Restricted Access | 1.19 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.