Research Article
Computer Vision for the Blind: A Comparison of Face Detectors in a Relevant Scenario
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@INPROCEEDINGS{10.1007/978-3-319-61949-1_16, author={Marco Marco and Gianfranco Fenu and Eric Medvet and Felice Pellegrino}, title={Computer Vision for the Blind: A Comparison of Face Detectors in a Relevant Scenario}, proceedings={Smart Objects and Technologies for Social Good. Second International Conference, GOODTECHS 2016, Venice, Italy, November 30 -- December 1, 2016, Proceedings}, proceedings_a={GOODTECHS}, year={2017}, month={7}, keywords={Face detection Video sequences Blindness Comparison}, doi={10.1007/978-3-319-61949-1_16} }- Marco Marco
Gianfranco Fenu
Eric Medvet
Felice Pellegrino
Year: 2017
Computer Vision for the Blind: A Comparison of Face Detectors in a Relevant Scenario
GOODTECHS
Springer
DOI: 10.1007/978-3-319-61949-1_16
Abstract
Motivated by the aim of developing a vision-based system to assist the social interaction of blind persons, the performance of some face detectors are evaluated. The detectors are applied to manually annotated video sequences acquired by blind persons with a glass-mounted camera and a necklace-mounted one. The sequences are relevant to the specific application and demonstrate to be challenging for all the considered detectors. A further analysis is performed to reveal how the performance is affected by some features such as occlusion, rotations, size and position of the face within the frame.
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