Attention estimation by simultaneous analysis of viewer and view

Ashish Tawari, Andreas Møgelmose, Sujitha Martin, Thomas B. Moeslund, Mohan M. Trivedi

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

20 Citations (Scopus)
384 Downloads (Pure)


This paper introduces a system for estimating the attention of a driver wearing a first person view camera using salient objects to improve gaze estimation. A challenging data set of pedestrians crossing intersections has been captured using Google Glass worn by a driver. A challenge unique to first person view from cars is that the interior of the car can take up a large part of the image. The proposed system automatically filters out the dashboard of the car, along with other parts of the instrumentation. The remaining area is used as a region of interest for a pedestrian detector. Two cameras looking at the driver are used to determine the direction of the driver’s gaze, by examining the eye corners and the center of the iris. This coarse gaze estimation is then linked to the detected pedestrians to determine which pedestrian the driver is focused on at any given time.
Original languageEnglish
Title of host publicationIEEE 17th International Conference on Intelligent Transportation Systems (ITSC), 2014
Number of pages7
PublisherIEEE Press
Publication date8 Oct 2014
ISBN (Print)9781479960798
Publication statusPublished - 8 Oct 2014
EventInternational Conference on Intelligent Transportation Systems, 2014 - Qingdao, China
Duration: 8 Oct 201411 Oct 2014
Conference number: 17


ConferenceInternational Conference on Intelligent Transportation Systems, 2014


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