Real-time change detection for countering improvised explosive devices

Wouw, Dennis W. J. M. van de; Rens, Kris van; Lint, Hugo van; Jaspers, E.G.T.; With, Peter H. N. de

doi:10.1117/12.2036532

Cited by 6 publications

(7 citation statements)

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“…15 Further contributions do an automatic image registration based on SIFT-Features 16 followed by a temporal image differencing in indoor scenes, 17 or a processing chain is performed consisting of image retrieval, image differencing, post-processing using Markov Random Fields, local texture comparison, and change tracking. 18 Similar to the applications discussed here, some papers perform a change detection using UAVs (Unmanned Aerial Vehicles). For example, the camera images are registrated using SIFT-features 16 and processed with a multi-primitive segmentation procedure, 19 or an image registration is used to calculate image mosaics on which image changes are processed then.…”

Section: Related Workmentioning

confidence: 96%

Change detection on UGV patrols with respect to a reference tour using VIS imagery

Müller

2015

SPIE Proceedings

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Autonomous driving robots (UGVs, Unmanned Ground Vehicles) equipped with visual-optical (VIS) cameras offer a high potential to automatically detect suspicious occurrences and dangerous or threatening situations on patrol. In order to explore this potential, the scene of interest is recorded first on a reference tour representing the 'everything okay' situation. On further patrols changes are detected with respect to the reference in a two step processing scheme. In the first step, an image retrieval is done to find the reference images that are closest to the current camera image on patrol. This is done efficiently based on precalculated image-to-image registrations of the reference by optimizing image overlap in a local reference search (after a global search when that is needed). In the second step, a robust spatio-temporal change detection is performed that widely compensates 3-D parallax according to variations of the camera position. Various results document the performance of the presented approach

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Section: Related Workmentioning

confidence: 96%

Change detection on UGV patrols with respect to a reference tour using VIS imagery

Müller

2015

SPIE Proceedings

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“…In the original change detection systems, 5,20 RGB differencing in combination with adaptive thresholding is employed to obtain a binary change mask, where the adaptive thresholding is based on a global threshold. However, differencing on the RGB images directly in combination with a global threshold was found to be too sensitive to local illumination changes, such as shadows.…”

Section: -D Change Detectionmentioning

confidence: 99%

“…This work describes our real-time image analysis system to be used for route-clearance operations, which is the successor of the real-time change detection system, 5 which was demonstrated at the route threat detection and Clearance Technologies Challenge (NATO-SCI-256 6 ) in 2012. However, this system was based on a single camera, lacking the semantic understanding of three-dimensional (3-D) elements separated from the background.…”

mentioning

confidence: 99%

“…• new and complete change detection system design, incorporating 3-D geometry to increase the robustness to viewpoint changes with respect to the previous system 5 and which is no longer restricted to detecting changes on the ground surface; • real-time design of this complex image analysis system; • additional postprocessing filters exploiting the 3-D geometry of the scene for high reliability; • extensive validation of this change detection system through realistic tests using our prototype vehicle.…”

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confidence: 99%

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Development and analysis of a real-time system for automated detection of improvised explosive device indicators from ground vehicles

et al. 2019

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DOI to the publisher's website.• The final author version and the galley proof are versions of the publication after peer review.• The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal.If the publication is distributed under the terms of Article 25fa of the Dutch Copyright Act, indicated by the "Taverne" license above, please follow below link for the End User Agreement:

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“…Real-time automated systems for the detection of IED cues or markers have been explored in the past, such as by using LiDAR systems [4], ground-based monocular camera imagery [5][6][7], ground-based stereo imagery [8] [9], or imagery from unmanned aerial vehicles [10]. All methods have in common that they search for small environmental changes compared to a previous patrol, under the assumption that the placement of an IED causes small appearance changes in the environment.…”

Section: Introductionmentioning

confidence: 99%

ECDNet: Efficient Siamese Convolutional Network for Real-Time Small Object Change Detection from Ground Vehicles

Klomp¹,

Wouw²,

B.V.³

et al. 2019

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DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal. If the publication is distributed under the terms of Article 25fa of the Dutch Copyright Act, indicated by the "Taverne" license above, please follow below link for the End User Agreement:

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Real-time change detection for countering improvised explosive devices

Cited by 6 publications

References 6 publications

Change detection on UGV patrols with respect to a reference tour using VIS imagery

Change detection on UGV patrols with respect to a reference tour using VIS imagery

Development and analysis of a real-time system for automated detection of improvised explosive device indicators from ground vehicles

ECDNet: Efficient Siamese Convolutional Network for Real-Time Small Object Change Detection from Ground Vehicles

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