Design of a CNN Face Recognition System Dedicated to Blinds

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Identifying other persons is a major challenge for blinds and visually impaired people that can hinder interaction in social activities. This paper introduces a novel CNN based face detection, tacking and recognition system designed to improve users' interaction and communication in social encounters. The major contribution consists in a novel weight adaptation scheme able to determine the relevance of face instances and to create a global, fixed-size representation from all face instances tracked during the video stream, while remaining independent of the track length. The experimental evaluation performed on a large set of video streams validates the approach that returns accuracy and recognition rates superior to 90%.

Original languageEnglish
Title of host publication2019 IEEE International Conference on Consumer Electronics, ICCE 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538679104
DOIs
Publication statusPublished - 6 Mar 2019
Event2019 IEEE International Conference on Consumer Electronics, ICCE 2019 - Las Vegas, United States
Duration: 11 Jan 201913 Jan 2019

Publication series

Name2019 IEEE International Conference on Consumer Electronics, ICCE 2019

Conference

Conference2019 IEEE International Conference on Consumer Electronics, ICCE 2019
Country/TerritoryUnited States
CityLas Vegas
Period11/01/1913/01/19

Fingerprint

Dive into the research topics of 'Design of a CNN Face Recognition System Dedicated to Blinds'. Together they form a unique fingerprint.

Cite this