Toward Privacy-Protecting Safety Systems for Naturalistic Driving Videos

Abstract

A common pool of naturalistic driving data is necessary to develop and compare algorithms that infer driver behavior, in order to improve driving safety. Naturalistic driving data, such as video sequences of looking at a driver, however, cause concern for the privacy of individual drivers. In an ideal situation, a deidentification filter applied to a raw… (More)
DOI: 10.1109/TITS.2014.2308543

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Cite this paper

@article{Martin2014TowardPS, title={Toward Privacy-Protecting Safety Systems for Naturalistic Driving Videos}, author={Sujitha Martin and Ashish Tawari and Mohan M. Trivedi}, journal={IEEE Transactions on Intelligent Transportation Systems}, year={2014}, volume={15}, pages={1811-1822} }