Computer Vision for the Blind: a Comparison of Face Detectors in a Relevant Scenario

Type:

Conf

Authors:

Marco De Marco, Gianfranco Fenu, Eric Medvet, Felice Andrea Pellegrino

In:

2nd EAI International Conference on Smart Objects and Technologies for Social Good (GOODTECHS), held in Venezia (Italy)

Year:

2016

Links and material:

Google Scholar
Publisher version
DOI: 10.1007/978-3-319-61949-1_16
Full text
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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.