Abstract
Nowadays the problem of BVIPs (Blind and Visually Impaired Persons) social exclusion arises to one of the major problems of modern society. It is usually framed in terms of accessibility to services like shops, theaters or cafeterias. The disability is main barrier both for fully and partially blinded to become an active members of society. However, thanks to growing progress in computer vision together with increasing power of portable devices new opportunities and solutions appear. Nearly real-time vision-based algorithms and knowledge-based systems start to help visually impaired during daily activities increasing social inclusion. New solutions for people with vision impairment are dedicated to support the user during the decision process, giving the information about obstacles located in the environment. However, in many cases this information is still not enough for blind person to have full situational awareness. 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 risk assessment based on ontology problem modeling allows to handle the risk, predict possible user’s moves and provide the user with appropriate set of suggestions that will eliminate or reduce the discovered risk.
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References
Pelcztnski, P.: Travel Aid System for the Blind. Image Processing and Communications Challenges, 324–333 (2009)
Kolmogorov, V., Zabih, R.: Computing visual correspondence with occlusions via graph cuts, In: I, pp. II: 508-515 (2001)
Birchfield, S., Tomasi, C.: Depth Discontinuities by Pixel-to-Pixel Stereo. International Journal of Computer Vision 35(3), 269–293 (1999)
Torralba, Fergus, R., Weiss, Y.: Small codes and large databases for recognition. In: CVPR (2008)
Philbin, J., Chum, O., Isard, M., Sivic, J., Zisserman, A.: Lost in quantization: Improving particular object retrieval in large scale image databases. In: CVPR (2008)
Felzenszwalb, P.F., Huttenlocher, D.P.: Efficient belief propagation for early vision. In: CVPR, pp. 1: 261–1: 268 (2004)
Yang, X., Tian, Y.: Robust Door Detection in Unfamiliar Environments by Combining Edge and Corner Features
Chen, Z., Birchfield, S.: Visual Detection of Lintel-Occluded Doors from a Single Image. In: IEEE Computer Society Workshop on Visual Localization for Mobile Platforms (in association with CVPR), Anchorage, Alaska (June 2008)
Gray, D., Tao, H.: Viewpoint invariant pedestrian recognition with an ensemble of localized features. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part I. LNCS, vol. 5302, pp. 262–275. Springer, Heidelberg (2008)
Wang, S., Wang, H.: 2D staircase detection using real adaboost. In: Proceedings of the 7th International Conference on Information, Communications and Signal Processing, Macau, China, pp. 376–380. IEEE Press, Los Alamitos (2009), ISBN: 978-1-4244-4656-8
MoBIC: an aid to increase the independent mobility of blind and elderly travellers. 2nd TIDE Congress, Paris, La Villette, April 26 - 28 (1995)
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Kozik, R. (2011). Stereovision System for Visually Impaired. In: Burduk, R., Kurzyński, M., Woźniak, M., Żołnierek, A. (eds) Computer Recognition Systems 4. Advances in Intelligent and Soft Computing, vol 95. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20320-6_48
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DOI: https://doi.org/10.1007/978-3-642-20320-6_48
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