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Authors: Steven Puttemans ; Stef Van Wolputte and Toon Goedemé

Affiliation: KU Leuven, Belgium

ISBN: 978-989-758-175-5

Keyword(s): Cycloramic Imagery, Mobile Mapping, Pedestrian Detection, Application Specific Constraints, Soft Blurring.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Mobile Imaging

Abstract: When capturing images in the wild containing pedestrians, privacy issues remain a major concern for industrial applications. Our application, collecting cycloramic mobile mapping data in crowded environments, is an example of this. If the data is processed and accessed by third parties, privacy of pedestrians must be ensured. This is where pedestrian detectors come into play, used to detect individuals and privacy mask them through blurring. The problem of undesired false positive detections, typical for pedestrian detectors and unavoidable, still leaves undesired areas of the images being blurred. We tackled this problem using application-specific scene constraints, modelled by a height-position mapping based on scene-specific pedestrian annotation data, combined with reducing the field of interest and case-specific false positive elimination classifiers. We applied a soft blurring technique to avoid the artificial look of simply applying Gaussian blurring to the found detections, wh ich results in an effective fully-automated masking pipeline for privacy safeguarding in mobile mapping images. We prove that we can use pre-trained pedestrian detection models, but by collecting a limited amount of application-specific annotations and by exploiting scene-specific constraints, we are able to boost the detection accuracy enormously. (More)

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Paper citation in several formats:
Puttemans, S.; Van Wolputte, S. and Goedemé, T. (2016). Safeguarding Privacy by Reliable Automatic Blurring of Faces in Mobile Mapping Images.In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2016) ISBN 978-989-758-175-5, pages 406-415. DOI: 10.5220/0005784304060415

@conference{visapp16,
author={Steven Puttemans. and Stef Van Wolputte. and Toon Goedemé.},
title={Safeguarding Privacy by Reliable Automatic Blurring of Faces in Mobile Mapping Images},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2016)},
year={2016},
pages={406-415},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005784304060415},
isbn={978-989-758-175-5},
}

TY - CONF

JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2016)
TI - Safeguarding Privacy by Reliable Automatic Blurring of Faces in Mobile Mapping Images
SN - 978-989-758-175-5
AU - Puttemans, S.
AU - Van Wolputte, S.
AU - Goedemé, T.
PY - 2016
SP - 406
EP - 415
DO - 10.5220/0005784304060415

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