Summary
New computer vision solutions dedicated for blind and partially sighted people have been recently introduced as a result of significant progress in computer science. Also the growing computation power of mobile and portable devices together with development of information systems allow to adopt and apply new and robust solutions that are able to work in nearly in a real-time and share and use information spread over IP network. Many of currently developed solutions are dedicated to support the user, giving the information about divert obstacles located in the environment. However many of them are using simple detectors (commonly ultrasonic echo-location) for obstacles tracking without its classification and recognition. Therefore the solution presented in this paper engages the stereo camera and image processing algorithms to facilitate its user with object detection and recognition mechanisms. The inference engine combined together with ontology based problem modeling allows to handle the risk, predict possible user’s moves and provide the user with appropriate set of tips that will eliminate or reduce the discovered risk.
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Kozik, R. (2010). SMAS - Stereovision Mobility Aid System for People with a Vision Impairment. In: Choraś, R.S. (eds) Image Processing and Communications Challenges 2. Advances in Intelligent and Soft Computing, vol 84. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16295-4_36
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DOI: https://doi.org/10.1007/978-3-642-16295-4_36
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