Title
Re-identification of persons in multi-camera surveillance under varying viewpoints and illumination
Author
Bouma, H.
Borsboom, A.S.
den Hollander, R.J.M.
Landsmeer, S.H.
Worring, M.
Contributor
Carapezza, E.M. (editor)
Publication year
2012
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.
Subject
Security
Surveillance systems
Forensics
Person re-identification
Person matching
Tracking
Tracing
Image retrieval
Defence Research
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
To reference this document use:
http://resolver.tudelft.nl/uuid:4a9ad606-a12a-44b9-b8e7-4bc1a841dde3
DOI
https://doi.org/doi:0.1117/12.918576
TNO identifier
460545
Publisher
SPIE, Bellingham, WA
Source
Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense XI, 23–25 April 2012, Baltimore, MD, United States
Series
Proceedings of SPIE
Document type
conference paper