Title
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 image of looking at a driver would, semantically, protect the identity and preserve the behavior (e.g, eye gaze, head pose, and hand activity) of the driver. Driver gaze estimation is of particular interest because it is a good indicator of a driver's visual attention and a good predictor of a driver's intent. Interestingly, the same facial features that are explicitly or implicitly used for gaze estimation play a key role in recognizing a person's identity. In this paper, we implement a specific deidentification filter on video sequences of looking at a driver from naturalistic driving and present novel findings on its effect on face recognition and driver gaze-zone estimation.
Year
DOI
Venue
2014
10.1109/TITS.2014.2308543
Intelligent Transportation Systems, IEEE Transactions  
Keywords
Field
DocType
behavioural sciences computing,face recognition,gaze tracking,image sequences,road safety,safety systems,traffic engineering computing,video signal processing,driver behavior,driver gaze-zone estimation,driving safety improvement,face recognition,facial features,naturalistic driving data,naturalistic driving videos,privacy-protecting safety systems,specific deidentification filter,video sequences,visual attention,Active safety,deidentification,driver assistance systems,driver behavior,gaze estimation,head pose,human factors
Computer vision,System safety,Simulation,Artificial intelligence,Engineering
Journal
Volume
Issue
ISSN
15
4
1524-9050
Citations 
PageRank 
References 
6
0.54
27
Authors
3
Name
Order
Citations
PageRank
Sujitha Martin117712.72
Ashish Tawari221916.07
Mohan M. Trivedi36564475.50