A survey on computer vision technology in Camera Based ETA devices

(1) * Amir Ramezani Dooraki Mail (Technology Park Malaysia, Malaysia)
*corresponding author

Abstract


Electronic Travel Aid systems are expected to make impaired persons able to perform their everyday tasks such as finding an object and avoiding obstacles easier. Among ETA devices, Camera Based ETA devices are the new one and with a high potential for helping Visually Impaired Persons. With recent advances in computer science and specially computer vision, Camera Based ETA devices used several computer vision algorithms and techniques such as object recognition and stereo vision in order to help VIP to perform tasks such as reading banknotes, recognizing people and avoiding obstacles. This paper analyses and appraises a number of literatures in this area with focus on stereo vision technique. Finally, after discussing about the methods and techniques used in different literatures, it is concluded that the stereo vision is the best technique for helping VIP in their everyday navigation.

Keywords


Computer Vision; Visually Impaired Person; Camera Based Electronic Travel Aid; Stereo Vision; Obstacle Detection; RANSAC; V-disparity

   

DOI

https://doi.org/10.26555/ijain.v1i3.40
      

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References


S. Se and M. Brady, “Stereo Vision-Based Obstacle Detection for Partially Sighted People,” in Proceedings of the Third Asian Conference on Computer Vision-Volume I - Volume I, London, UK, UK, 1997, pp. 152–159.

N. Molton, S. Se, J. M. Brady, D. Lee, and P. Probert, “A stereo vision-based aid for the visually impaired,” Image and Vision Computing, vol. 16, no. 4, pp. 251–263, Mar. 1998.

Y. Kawai and F. Tomita, “A support system for visually impaired persons to understand three-dimensional visual information using acoustic interface,” in Pattern Recognition, 2002. Proceedings. 16th International Conference on, 2002, vol. 3, pp. 974 – 977 vol.3.

S. Kang, H. Byun, and S.-W. Lee, “Real-Time Pedestrian Detection Using Support Vector Machines,” in Proceedings of the First International Workshop on Pattern Recognition with Support Vector Machines, London, UK, UK, 2002, pp. 268–277.

S. Akhter, J. Mirsalahuddin, F. B. Marquina, S. Islam, and S. Sareen, “A Smartphone-based Haptic Vision Substitution system for the blind,” in Bioengineering Conference (NEBEC), 2011 IEEE 37th Annual Northeast, 2011, pp. 1 –2.

S. Wenqin, J. Wei, and C. Jian, “A machine vision based navigation system for the blind,” in Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on, 2011, vol. 3, pp. 81 –85.

G. Balakrishnan, G. Sainarayanan, R. Nagarajan, and S. Yaacob, “Fuzzy Matching Scheme for Stereo Vision based Electronic Travel Aid,” in TENCON 2005 2005 IEEE Region 10, 2005, pp. 1 –4.

N. Bourbakis, S. K. Makrogiannis, and D. Dakopoulos, “A System-Prototype Representing 3D Space via Alternative-Sensing for Visually Impaired Navigation,” IEEE Sensors Journal, vol. 13, no. 7, pp. 2535–2547, Jul. 2013.

T.-S. Leung and G. Medioni, “Visual Navigation Aid for the Blind in Dynamic Environments,” 2014, pp. 579–586.

G. Balakrishnan, G. Sainarayanan, R. Nagarajan, and S. Yaacob, “Stereopsis method for visually impaired to identify obstacles based on distance,” in Image and Graphics, 2004. Proceedings. Third International Conference on, 2004, pp. 580 – 583.

S.-C. Pei and Y.-Y. Wang, “Census-based vision for auditory depth images and speech navigation of visually impaired users,” Consumer Electronics, IEEE Transactions on, vol. 57, no. 4, pp. 1883 –1890, Nov. 2011.

L. A. Johnson and C. M. Higgins, “A Navigation Aid for the Blind Using Tactile-Visual Sensory Substitution,” in Engineering in Medicine and Biology Society, 2006. EMBS ’06. 28th Annual International Conference of the IEEE, 2006, pp. 6289 –6292.

Microsoft Corporation, “Kinect Sensor,” 2012. [Online]. Available: http://msdn.microsoft.com/en-us/library/hh438998.aspx. [Accessed: 06-Feb-2013].




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