Ecole d'ingénieur et centre de recherche en Sciences du numérique

Privacy protecting, intelligibility preserving video surveillance

Ruchaud, Natacha; Dugelay, Jean-Luc

ICME 2016, IEEE International Conference on Multimedia and Expo, July 11-15, 2016, Seattle, USA

Video surveillance is increasingly omni-present in our everyday life and is a key component of many security systems. Not only is the increasing number of cameras, but also the resolution of visual sensors and the performance of video processing algorithms. This evolution generates some important privacy concerns. This article introduces a new visual filter that includes a good trade-off between privacy and intelligibility. It ensures that people are unrecognizable while keeping the scene understandable in terms of events which allows machines to detect abnormal behavior. The algorithm operates in the DCT domain to be compliant with the popular JPEG and MPEG codecs. For each sensitive area of the picture (i.e. area where privacy needs to be protected), the proposed algorithm uses the low-frequency coefficients of the DCT to display a privacy preserved image of the region and the high-frequency coefficients to hide most of the original information. Finally, our process allows authorized users to nearly reverse the process thanks to the hidden information.

Document Doi Hal Bibtex

Titre:Privacy protecting, intelligibility preserving video surveillance
Mots Clés:Privacy protection, Surveillance, DCT domain
Département:Sécurité numérique
Eurecom ref:4966
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Bibtex: @inproceedings{EURECOM+4966, doi = {}, year = {2016}, title = {{P}rivacy protecting, intelligibility preserving video surveillance}, author = {{R}uchaud, {N}atacha and {D}ugelay, {J}ean-{L}uc}, booktitle = {{ICME} 2016, {IEEE} {I}nternational {C}onference on {M}ultimedia and {E}xpo, {J}uly 11-15, 2016, {S}eattle, {USA}}, address = {{S}eattle, {\'{E}}{TATS}-{UNIS}}, month = {07}, url = {} }
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