Abstract
Advances in vehicular technology have resulted in more controls being incorporated in cabin designs. We present a system to determine which vehicle occupant is interacting with a control on the centre console when it is activated, enabling the full use of dual-view touchscreens and the removal of duplicate controls. The proposed method relies on a background subtraction algorithm incorporating information from a superpixel segmentation stage. A manifold generated via the diffusion maps process handles the large variation in hand shapes, along with determining which part of the hand interacts with controls for a given gesture. We demonstrate superior results compared to other approaches on a challenging dataset.
Original language | English |
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Pages (from-to) | 321-331 |
Number of pages | 11 |
Journal | IEEE Transactions on Intelligent Transportation Systems |
Volume | 18 |
Issue number | 2 |
Early online date | 8 Jun 2016 |
DOIs | |
Publication status | Published - Feb 2017 |
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Dive into the research topics of 'Visual Monitoring of Driver and Passenger Control Panel Interactions'. Together they form a unique fingerprint.Profiles
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Professor Majid Mirmehdi
- School of Computer Science - Professor of Computer Vision/Engineering Faculty Education Director
- Visual Information Laboratory
- Bristol Vision Institute
Person: Academic , Member