Journal of Engineering and Applied Sciences

Year: 2018
Volume: 13
Issue: 7
Page No. 1859 - 1871

Development and Performance Analysis of Canny and Hough Transform Based Pole Detection Algorithm as Mobility Aid for Visually Impaired Person on SEE-S (Smart Environment Explorer-Stick)

Authors : M. Yusro, K. Ramli, K.M. Hou and D. Sudiana

References

Cabo, C., C. Ordonez, S.G. Cortes and J. Martinez, 2014. An algorithm for automatic detection of pole-like street furniture objects from mobile laser scanner point clouds. ISPRS. J. Photogramm. Remote Sens., 87: 47-56.
Direct Link  |  

Costa, P., H. Fernandes, P. Martins, J. Barroso and L.J. Hadjileontiadis, 2012. Obstacle detection using stereo imaging to assist the navigation of visually impaired people. Procedia Comput. Sci., 14: 83-93.
CrossRef  |  Direct Link  |  

Dakopoulos, D. and N.G. Bourbakis, 2010. Wearable obstacle avoidance electronic travel aids for blind: A survey. IEEE. Trans. Syst. Man Cybern. Part C., 40: 25-35.
CrossRef  |  Direct Link  |  

Fernandes, L.A. and M.M. Oliveira, 2008. Real-time line detection through an improved hough transform voting scheme. Pattern Recognit., 41: 299-314.
Direct Link  |  

Hakobyan, L., J. Lumsden, D.O. Sullivan and H. Bartlett, 2013. Mobile assistive technologies for the visually impaired. Surv. Ophthalmol., 58: 513-528.
Direct Link  |  

Juneja, M. and P.S. Sandhu, 2009. Performance evaluation of edge detection techniques for images in spatial domain. Int. J. Comput. Theory Eng., 1: 1793-8201.
Direct Link  |  

Lee, Y.S., H.S. Koo and C.S. Jeong, 2006. A straight line detection using principal component analysis. Pattern Recognit. Lett., 27: 1744-1754.
Direct Link  |  

Lehtomaki, M., A. Jaakkola, J. Hyyppa, A. Kukko and H. Kaartinen, 2010. Detection of vertical pole-like objects in a road environment using vehicle-based laser scanning data. Remote Sens., 2: 641-664.
CrossRef  |  Direct Link  |  

Matrella, G. and D. Marani, 2011. An embedded video sensor for a smart traffic light. Proceedings of the 14th Euromicro Conference on Digital System Design (DSD), August 31-September 2, 2011, IEEE, New York, USA., ISBN:978-1-4577-1048-3, pp: 769-776.

Molton, N., S. Se, J.M. Brady, D. Lee and P. Probert, 1998. A stereo vision-based aid for the visually impaired. Image Vision Comput., 16: 251-263.
CrossRef  |  Direct Link  |  

Neubeck, A. and L.V. Gool, 2006. Efficient non-maximum suppression. Proceedings of the 18th International Conference on Pattern Recognition (ICPR'06), August 20-24, 2006, IEEE, New York, USA., ISBN:0-7695-2521-0, pp: 850-855.

Oji, R., 2012. An automatic algorithm for object recognition and detection based on ASIFT. Signal Image Process. Intl. J., 3: 29-39.

Praveen, R.G. and R.P. Paily, 2013. Blind navigation assistance for visually impaired based on local depth hypothesis from a single image. Procedia Eng., 64: 351-360.
CrossRef  |  Direct Link  |  

Serna, A. and B. Marcotegui, 2014. Detection, segmentation and classification of 3D urban objects using mathematical morphology and supervised learning. ISPRS. J. Photogramm. Remote Sensing, 93: 243-255.
Direct Link  |  

Sharma, A., 2010. Object detection in image using particle swarm optimization. Intl. J. Eng. Technol., 2: 419-426.

Strumillo, P., 2010. Electronic interfaces aiding the visually impaired in environmental access, mobility and navigation. Proceedings of the 3rd International Conference on Human System Interaction, May 13-15, 2010, IEEE, Lodz, Poland, ISBN:978-1-4244-7560-5, pp: 17-24.

Tang, S., M. Andriluka and B. Schiele, 2014. Detection and tracking of occluded people. Intl. J. Comput. Vision, 110: 58-69.
CrossRef  |  Direct Link  |  

Ushma, A., P.M. Scholar and A.M. Shanavas, 2014. Object detection in image processing using edge detection techniques. IOSR. J. Eng., 4: 10-13.
Direct Link  |  

Wang, S., H. Pan, C. Zhang and Y. Tian, 2015. RGB-D image-based detection of stairs, pedestrian crosswalks and traffic signs. J. Visual Commun. Image Represent., 25: 263-272.
Direct Link  |  

Yokoyama, H., H. Date, S. Kanai and H. Takeda, 2013. Detection and classification of pole-like objects from mobile laser scanning data of urban environments. Intl. J. CAD. CAM., 13: 31-40.
Direct Link  |  

Yu, C., C. Huang and Y. Lang, 2010. Traffic light detection during day and night conditions by a camera. Proceedings of the IEEE 10th International Conference on Signal Processing Proceedings, October 24-28, 2010, IEEE, Shenyang, China, ISBN:978-1-4244-5897-4, pp: 821-824.

Yusro, M., K.M. Hou, E. Pissaloux, H.L. Shi and K. Ramli et al., 013. SEES: Concept and design of a smart environment explorer stick. Proceedings of the 2013 6th International Conference on Human System Interactions (HSI), June 6-8, 2013, IEEE, Blaise Pascal, France, ISBN:978-1-4673-5635-0, pp: 70-77.

Yusro, M., K.M. Hou, E. Pissaloux, K. Ramli and D. Sudiana et al., 2014. Concept and Design of SEES (Smart Environment Explorer Stick) for Visually Impaired Person Mobility Assistance. In: Human-Computer Systems Interaction: Backgrounds and Applications 3, Zdzislaw, S.H., L.K. Juliusz, T. Mroczek and J. Wtorek (Eds.). Springer, Berlin, Germany, ISBN:978-3-319-08490-9, pp: 245-259.

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