Abstract
The majority of solutions, dedicated for visually impaired persons, typically utilize obstacle detection mechanism without object recognition, therefore in this paper an approach for rapid object/threat detection and identification for the SMAS system (Stereo Vision Mobility Aid System) is proposed. The results obtained during the experiments are promising and proving that this method is suitable to be used as an real-time solution even for relatively slow portable devices.
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References
Chen, Z., Birchfield, S.: Visual Detection of Lintel-Occluded Doors from a Single Image. In: Proceedings of the IEEE Computer Society Workshop on Visual Localization for Mobile Platforms (in association with CVPR) (2008)
Kozik, R.: Stereovision based obstacles detection and identification. In: PeszyĆski, K. (ed.) Developments in Machinery Design and Control Conference, vol. 11. Department of Control and Machinery Design, University of Technology and Life Sciences. Faculty of Mechanical Engineering. Department of Control and Machinery Design, Polish Society of Mechanical Engineers and Technicians (2009)
Kozik, R.: Ontology-based Reasoning for Stereovision Travel Aid System. In: Proceedings of the 2nd International Interdisciplinary Technical Conference of Young Scientists, pp. 189â193 (2010)
Kozik, R.: SMAS - stereovision mobility aid system for people with a vision impairment. In: ChoraĆ, R.S. (ed.) Image Processing and Communications Challenges 2. Advances in Intelligent and Soft Computing, vol. 84, pp. 315â322. Springer, Heidelberg (2010)
Pelcztnski, P.: Travel Aid System for the Blind. Image Processing and Communications Challenges, 324â333 (2009)
Sivic, J., Zisserman, A.: Efficient visual search for objects in videos. Proceedings of the IEEEÂ 96, 548â566 (2008)
Viola, P., Jones, M.: Robust real-time object detection. International Journal of Computer Vision 57(2), 137â154 (2002)
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Kozik, R. (2011). Rapid Threat Detection for Stereovision Mobility Aid System. In: CzachĂłrski, T., Kozielski, S., StaĆczyk, U. (eds) Man-Machine Interactions 2. Advances in Intelligent and Soft Computing, vol 103. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23169-8_13
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DOI: https://doi.org/10.1007/978-3-642-23169-8_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23168-1
Online ISBN: 978-3-642-23169-8
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