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access icon free Automated stationary human target detector for 3D through-wall radar imagery

© The Institution of Engineering and Technology
Received 18/04/2017, Published 13/07/2017

The use of through-wall radar imagery for remote intelligence of building interiors is promising but challenging. Relevant information about human targets and room layout features is typically buried in clutter. In this Letter, the authors propose a methodology for automated extraction of information about stationary human targets behind walls. Based on treatment of the individual blobs found in the imagery, the method consists of thresholding, segmentation, classification and 3D visualisation. Although further optimisation of each of the steps is required, they demonstrate with two examples, including one cluttered scene, that the combination of these steps is effective at eliminating large amounts of clutter and identifying human targets behind walls.

Inspec keywords: radar imaging; image segmentation; image fusion; image classification; real-time systems; learning (artificial intelligence); statistical analysis; radar detection; object detection; stereo image processing

Other keywords: uncertainty challenges; decision redundancy; voting pool; statistical perspective; intermediate labelled images; local majority filter; local majority saliency map; ensemble machine learning schemes; building interior remote intelligence; automated information extraction; image classification; pixel labelling; voting algorithm; saliency map generation; real-time systems; 3D visualisation; enhanced decision fusion; automated stationary human target detector; 3D through-wall radar imagery; image segmentation; semantically segmented images; random decision forest model; image thresholding

Subjects: Image recognition; Signal detection; Knowledge engineering techniques; Other topics in statistics; Sensor fusion; Computer vision and image processing techniques; Other topics in statistics; Radar equipment, systems and applications; Optical, image and video signal processing

References

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