Title
Increasing the security at vital infrastructures: Automated detection of deviant behaviors
Author
Burghouts, G.J.
den Hollander, R.
Schutte, K.
Marck, J.W.
Landsmeer, S.
den Breejen, E.
Publication year
2011
Abstract
This paper discusses the decomposition of hostile intentions into abnormal behaviors. A list of such behaviors has been compiled for the specific case of public transport. Some of the deviant behaviors are hard to observe by people, as they are in the midst of the crowd. Examples are deviant walking patterns, prohibited actions such as taking photos and waiting without taking the train. We discuss our visual analytics algorithms and demonstrate them on CCTV footage from the Amsterdam train station. © 2011 SPIE.
Subject
Abnormal behavior
Automated detection
CCTV
Features
Observables
Pattern recognition
Tracking
Physics & Electronics
II - Intelligent Imaging ; DSS - Distributed Sensor Systems
TS - Technical Sciences
To reference this document use:
http://resolver.tudelft.nl/uuid:448504d6-d4b1-4adc-a1b8-fa82c5e5baa8
DOI
https://doi.org/10.1117/12.884579
TNO identifier
431384
Source
Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense X, 25-28 April 2011, Orlando, FL, USA, 8019 (8019)
Series
Proceedings of SPIE - The International Society for Optical Engineering
Document type
conference paper