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Deep passenger state monitoring using viewpoint warping
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Tu, Ian, Bhalerao, Abhir, Griffiths, Nathan, Munoz, Mauricio, Popham, Thomas and Mouzakitis, Alexandros (2017) Deep passenger state monitoring using viewpoint warping. In: ICIAP 2017, Catania, Italy, 11-15 Sep 2017. Published in: Image Analysis and Processing - ICIAP 2017, 10485 pp. 137-148. ISBN 9783319685472. ISSN 0302-9743.
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WRAP-deep-passenger-state-monitoring-viewpoint-warping-Tu-2017.pdf - Accepted Version - Requires a PDF viewer. Download (8Mb) | Preview |
Official URL: https://doi.org/10.1007/978-3-319-68548-9_13
Abstract
The advent of autonomous and semi-autonomous vehicles has meant passengers now play a more significant role in the safety and comfort of vehicle journeys. In this paper, we propose a deep learning method to monitor and classify passenger state with camera data. The training of a convolutional neural network is supplemented by data captured from vehicle occupants in different seats and from different viewpoints. Existing driver data or data from one vehicle is augmented by viewpoint warping using planar homography, which does not require knowledge of the source camera parameters, and overcomes the need to re-train the model with large amounts of additional data. To analyse the performance of our approach, data is collected on occupants in two different vehicles, from different viewpoints inside the vehicle. We show that the inclusion of the additional training data and augmentation by homography increases the average passenger state classification rate by 11.1%. We conclude by proposing how occupant state may be used holistically for activity recognition and intention prediction for intelligent vehicle features.
| Item Type: | Conference Item (Paper) | |||||||||
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| Subjects: | T Technology > TL Motor vehicles. Aeronautics. Astronautics | |||||||||
| Divisions: | Faculty of Science > Computer Science | |||||||||
| Library of Congress Subject Headings (LCSH): | Autonomous vehicles, Automobile occupants, Computer vision -- Industrial applications | |||||||||
| Series Name: | Lecture Notes in Computer Science | |||||||||
| Journal or Publication Title: | Image Analysis and Processing - ICIAP 2017 | |||||||||
| Publisher: | Springer | |||||||||
| Place of Publication: | Cham | |||||||||
| ISBN: | 9783319685472 | |||||||||
| ISSN: | 0302-9743 | |||||||||
| Book Title: | Image Analysis and Processing - ICIAP 2017 | |||||||||
| Editor: | Battiato, S. and Gallo , G. and Schettini , R. and Stanco , F. | |||||||||
| Official Date: | 13 October 2017 | |||||||||
| Dates: |
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| Volume: | 10485 | |||||||||
| Page Range: | pp. 137-148 | |||||||||
| Status: | Peer Reviewed | |||||||||
| Publication Status: | Published | |||||||||
| Access rights to Published version: | Restricted or Subscription Access | |||||||||
| RIOXX Funder/Project Grant: |
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| Conference Paper Type: | Paper | |||||||||
| Title of Event: | ICIAP 2017 | |||||||||
| Type of Event: | Conference | |||||||||
| Location of Event: | Catania, Italy | |||||||||
| Date(s) of Event: | 11-15 Sep 2017 | |||||||||
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