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Proceedings Paper

Re-identification of persons in multi-camera surveillance under varying viewpoints and illumination
Author(s): Henri Bouma; Sander Borsboom; Richard J. M. den Hollander; Sander H. Landsmeer; Marcel Worring
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Paper Abstract

The capability to track individuals in CCTV cameras is important for surveillance and forensics alike. However, it is laborious to do over multiple cameras. Therefore, an automated system is desirable. In literature several methods have been proposed, but their robustness against varying viewpoints and illumination is limited. Hence performance in realistic settings is also limited. In this paper, we present a novel method for the automatic re-identification of persons in video from surveillance cameras in a realistic setting. The method is computationally efficient, robust to a wide variety of viewpoints and illumination, simple to implement and it requires no training. We compare the performance of our method to several state-of-the-art methods on a publically available dataset that contains the variety of viewpoints and illumination to allow benchmarking. The results indicate that our method shows good performance and enables a human operator to track persons five times faster.

Paper Details

Date Published: 18 June 2012
PDF: 10 pages
Proc. SPIE 8359, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense XI, 83590Q (18 June 2012); doi: 10.1117/12.918576
Show Author Affiliations
Henri Bouma, TNO (Netherlands)
Sander Borsboom, TNO (Netherlands)
Univ. of Amsterdam (Netherlands)
Richard J. M. den Hollander, TNO (Netherlands)
Sander H. Landsmeer, TNO (Netherlands)
Science and Technology (Netherlands)
Marcel Worring, Univ. of Amsterdam (Netherlands)


Published in SPIE Proceedings Vol. 8359:
Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense XI
Edward M. Carapezza, Editor(s)

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