Concealed object detection and segmentation over millimetric waves images

Martínez, Oriol; Ferraz, Luis; Binefa, Xavier; Gomez, Ignacio; Dorronsoro, Carlos

doi:10.1109/cvprw.2010.5543714

Cited by 28 publications

(12 citation statements)

References 14 publications

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“…Furthermore, advances in millimeter-wave radiometry (e.g., [49]) and integrated-circuit technologies (e.g., [50]) extended their use while technological breakthroughs led to the development of PMMW video devices (e.g., [51]). More recently, active and passive millimeter-wave scanners have been successfully introduced at airports to detect a broad range of concealed threats (e.g., [52]). …”

Section: B Pmmw Imaging and Experimentsmentioning

confidence: 99%

Compressive Blind Image Deconvolution

Amizic

Spinoulas

Molina

et al. 2013

IEEE Trans. on Image Process.

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Abstract-We propose a novel blind image deconvolution (BID) regularization framework for compressive sensing (CS) based imaging systems capturing blurred images. The proposed framework relies on a constrained optimization technique, which is solved by a sequence of unconstrained sub-problems, and allows the incorporation of existing CS reconstruction algorithms in compressive BID problems. As an example, a non-convex l p quasi-norm with 0 < p < 1 is employed as a regularization term for the image, while a simultaneous auto-regressive regularization term is selected for the blur. Nevertheless, the proposed approach is very general and it can be easily adapted to other state-ofthe-art BID schemes that utilize different, application specific, image/blur regularization terms. Experimental results, obtained with simulations using blurred synthetic images and real passive millimeter-wave images, show the feasibility of the proposed method and its advantages over existing approaches.

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Section: B Pmmw Imaging and Experimentsmentioning

confidence: 99%

Compressive Blind Image Deconvolution

Amizic

Spinoulas

Molina

et al. 2013

IEEE Trans. on Image Process.

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“…Therefore, mmw-wave images shown here differ from the ones presented in. 6,9,10 The acquired preliminary images have low resolution with a high noise level (later images have been significantly improved and will be presented in a future paper. Evaluation data set from these images were not available at the time of writing this article.).…”

Section: Introductionmentioning

confidence: 97%

Automatic detection of hidden threats in the TeraSCREEN passive millimeter-wave imaging subsystem

Madhogaria

Schikora

2015

SPIE Proceedings

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Passive millimeter-wave imaging systems can play a significant role in security applications. Especially, the detection of hidden threats for border security is a growing field. In this paper we propose a novel approach for automatic threat detection using multiple 94 GHz passive millimeter-wave images. Herein, we discuss four steps essential to solving the task: pre-processing, region-of-interest extraction, threat extraction in each frame and, finally, intelligent fusion of the results from all frames. Besides, showing that the proposed method works reliably for the data-set at hand, we also discuss the advantages of using this method in contrast to state-of-the-art methods

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“…Further, it is essential to know the specific target material types such as metal, paper, plastic, clothing to identify the targets [24,25]. A number of different identification techniques have been reported by researchers which are generally used for identification of feature extraction based techniques, artificial neural network (ANN) and material of targets [26,27].…”

Section: Introductionmentioning

confidence: 99%

Development of an Adaptive Approach for Identification of Targets (Match Box, Pocket Diary and Cigarette Box) Under the Cloth With MMW Imaging System

Kumar¹,

Upadhyay²,

Singh³

2017

PIER B

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Abstract-Non-metallic objects, such as match box and cigarette box, detection and identification are quite an essential task during personal screening from standoff distance to protect the public places like the airport. Although various imaging sensors such as microwave, THz, infrared and MMW with signal processing techniques have been demonstrated by the researchers for concealed weapon detection, it is still a challenging task to detect and identify different types of small size targets such as matchbox, pocket diary and cigarette box simultaneously. Therefore, in this paper, an attempt has been made to develop such an algorithm/methodology by which different types of small targets, such as a matchbox and cigarette box, which is fully or half-filled or empty and pocket diary at different orientations beneath various cloths can be detected and identified with an MMW radar system. For this purpose, an optimal method has been proposed to form an image, and after that, in post processing a novel adaptive approach for detection and identification of considered targets has been proposed. The data were collected by MMW system at V-band (59 GHz-61 GHz). The proposed algorithm/methodology gives a quite satisfactory result.

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Concealed object detection and segmentation over millimetric waves images

Cited by 28 publications

References 14 publications

Compressive Blind Image Deconvolution

Compressive Blind Image Deconvolution

Automatic detection of hidden threats in the TeraSCREEN passive millimeter-wave imaging subsystem

Development of an Adaptive Approach for Identification of Targets (Match Box, Pocket Diary and Cigarette Box) Under the Cloth With MMW Imaging System

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