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Object detection and identification for blind people in video scene | IEEE Conference Publication | IEEE Xplore

Object detection and identification for blind people in video scene


Abstract:

Vision is one of the very essential human senses and it plays the most important role in human perception about surrounding environment. Hence, over thousands of papers h...Show More

Abstract:

Vision is one of the very essential human senses and it plays the most important role in human perception about surrounding environment. Hence, over thousands of papers have been published on these subjects that propose a variety of computer vision products and services by developing new electronic aids for the blind. This paper aims to introduce a proposed system that restores a central function of the visual system which is the identification of surrounding objects. This method is based on the local features extraction concept. The simulation results using SFIT algorithm and keypoints matching showed good accuracy for detecting objects. Thus, our contribution is to present the idea of a visual substitution system based on features extractions and matching to recognize and locate objects in images.
Date of Conference: 14-16 December 2015
Date Added to IEEE Xplore: 13 June 2016
Electronic ISBN:978-1-4673-8709-5
Electronic ISSN: 2164-7151
Conference Location: Marrakech, Morocco

References

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