Title
Development and analysis of a real-time system for automated detection of improvised explosive device indicators from ground vehicles
Author
van de Wouw, D.W.J.M.
ter Haar, F.B.
Dubbelman, G.
de With, P.H.N.
Publication year
2019
Abstract
We propose a real-time change detection system to be used as a vehicle-mounted early-warning system for indicators of improvised explosive devices. Within the context of military route clearance, the system automatically detects suspicious changes in the environment with respect to a previous patrol. For this purpose, historical images of the live scene are retrieved from a database and registered to the live image through 2.5-D view synthesis, using the three-dimensional (3-D) scene geometry acquired from a stereo camera. Changes are then found using local-area statistics in the CIE-Lab color space. A set of spatiotemporal filters is used to reject irrelevant alarms, resulting in a limited set of confident changes to be presented to the operator through an interactive graphical user interface. Next to the algorithmic contributions, we elaborate on the real-time design, featuring graphical processing units for the most time-consuming processing tasks, a pipelined architecture to increase the system throughput, and we split the system into a live and offline processing chain. This way, real-time change detection at 3.5 fps is achieved on images of 1920 × 1440 pixels. Finally, an extensive system validation featuring realistic experiments shows promising detection capabilities and robustness to, e.g., lateral displacements of up to 6 m. © 2019 SPIE and IS&T.
Subject
Computer vision
Explosives
Explosives detection
Graphical user interfaces
Graphics processing unit
Ground vehicles
Interactive computer systems
Pipeline processing systems
Real time systems
Change detection
Counter-IED
Improvised explosive devices
Interactive graphical user interface
Pipelined architecture
Spatio-temporal filter
Threedimensional (3-d)
Stereo image processing
To reference this document use:
http://resolver.tudelft.nl/uuid:5f0236cc-c923-47a3-974e-5f27a3774015
TNO identifier
868322
Publisher
SPIE
ISSN
1017-9909
Source
Journal of Electronic Imaging, 28 (4)
Article number
43009
Document type
article