Abstract
Recent studies have shown the success of face recognition using low resolution prosthetic vision, but it requires a zoomed-in and stably-fixated view, which will be challenging for a user with the limited resolution of current prosthetic vision devices. We propose a real-time object detection and tracking system capable of fixating human faces. By integrating both static and temporal information, we are able to improve the robustness of face localization so that it can fixate on faces with large pose variations. Our qualitative and quantitative results demonstrate the viability of supplementing visual prosthetic devices with the ability to visually fixate objects automatically, and provide a stable zoomed-in image stream to facilitate face and expression recognition.
Original language | English |
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Title of host publication | Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS |
Editors | Michael C. K. Khoo; Gert Cauwenberghs; James Weiland |
Place of Publication | Piscataway, New Jersey |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 2981-2984 |
Edition | Peer Reviewed |
ISBN (Print) | 9781457717871 |
DOIs | |
Publication status | Published - 2012 |
Event | IEEE International Conference of the Engineering in Medicine and Biology Society (EMBS 2012) - San Diego, USA, United States Duration: 1 Jan 2012 → … http://dx.doi.org/10.1109/EMBC.2012.6347194 |
Conference
Conference | IEEE International Conference of the Engineering in Medicine and Biology Society (EMBS 2012) |
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Country/Territory | United States |
Period | 1/01/12 → … |
Other | August 28-September 1 2012 |
Internet address |