PRIVACY PROTECTING, INTELLIGIBILITY PRESERVING VIDEO SURVEILLANCE

Natacha Ruchaud (1) , Jean-Luc Dugelay (1)

1 EURECOM

Video surveillance is increasingly omnipresent 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 intelligi-bility. 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.

Mots clés: Privacy protection; Surveillance; DCT domain

Domaines: Traitement des images [eess.IV]

Natacha Ruchaud, Jean-Luc Dugelay. PRIVACY PROTECTING, INTELLIGIBILITY PRESERVING VIDEO SURVEILLANCE. ICME 2016 IEEE International Conference on Multimedia and Expo , Jul 2016, Seattle, United States. ⟨hal-01367568⟩