NDLI: Instantaneous threat detection based on a semantic representation of activities, zones and trajectories

Content Provider	SpringerLink
Author	Burghouts, G. J. Schutte, K. Hove, R. J. M. Broek, S. P. Baan, J. Rajadell, O. Huis, J. R. Rest, J. Hanckmann, P. Bouma, H. Sanroma, G. Evans, M. Ferryman, J.
Copyright Year	2014
Abstract	Threat detection is a challenging problem, because threats appear in many variations and differences to normal behaviour can be very subtle. In this paper, we consider threats on a parking lot, where theft of a truck’s cargo occurs. The threats range from explicit, e.g. a person attacking the truck driver, to implicit, e.g. somebody loitering and then fiddling with the exterior of the truck in order to open it. Our goal is a system that is able to recognize a threat instantaneously as they develop. Typical observables of the threats are a person’s activity, presence in a particular zone and the trajectory. The novelty of this paper is an encoding of these threat observables in a semantic, intermediate-level representation, based on low-level visual features that have no intrinsic semantic meaning themselves. The aim of this representation was to bridge the semantic gap between the low-level tracks and motion and the higher-level notion of threats. In our experiments, we demonstrate that our semantic representation is more descriptive for threat detection than directly using low-level features. We find that a person’s activities are the most important elements of this semantic representation, followed by the person’s trajectory. The proposed threat detection system is very accurate: 96.6 % of the tracks are correctly interpreted, when considering the temporal context.
Starting Page	191
Ending Page	200
Page Count	10
File Format	PDF
ISSN	18631703
Journal	Signal, Image and Video Processing
Volume Number	8
Issue Number	1
e-ISSN	18631711
Language	English
Publisher	Springer London
Publisher Date	2014-08-17
Publisher Place	London
Access Restriction	Subscribed
Subject Keyword	Threat detection Human action recognition Spatiotemporal features Tracking of humans Trajectories Zones Signal, Image and Speech Processing Image Processing and Computer Vision Computer Imaging, Vision, Pattern Recognition and Graphics Multimedia Information Systems
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Signal Processing

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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