Local Dissimilarity Measures of Frames in Visual Substitution System for Blind People

Abstract

As the environment identification is a vital necessity for blind people, a visual substitution system based on video analysis is the solution to their problem. This paper focuses on the assessment and integration of the local dissimilarity map in the video processing. A Real Value local Dissimilarity Map is built for grayscale images in order to get an excellent detection of similar frames. The elimination of similar frames processing allows reducing the redundancy of objects re-identification.