18 June 2012 Re-identification of persons in multi-camera surveillance under varying viewpoints and illumination
Author Affiliations +
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.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Henri Bouma, Henri Bouma, Sander Borsboom, Sander Borsboom, Richard J. M. den Hollander, Richard J. M. den Hollander, Sander H. Landsmeer, Sander H. Landsmeer, Marcel Worring, Marcel Worring, } "Re-identification of persons in multi-camera surveillance under varying viewpoints and illumination", 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; https://doi.org/10.1117/12.918576

Back to Top