Re-identification of persons in multi-camera surveillance under varying viewpoints and illumination
den Hollander, R.J.M.
Carapezza, E.M. (editor)
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.
To reference this document use:
Defence, Safety and Security
Physics & Electronics ; Human
II - Intelligent Imaging ; DSS - Distributed Sensor Systems ; TPI - Training & Performance Innovations
TS - Technical Sciences ; BSS - Behavioural and Societal Sciences
SPIE, Bellingham, WA
Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense XI, 23–25 April 2012, Baltimore, MD, United States
Proceedings of SPIE