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Real-time Multiresolution Crosswalk Detection with Walk Light Recognition for the BlindROMIC, K. , GALIC, I. , LEVENTIC, H. , NENADIC, K.
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assistive technology, image recognition, machine vision, morphological operations, object detection
detection(9), image(8), traffic(5), processing(5), impaired(5), crosswalk(4), applications(4)
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About this article
Date of Publication: 2018-02-28
Volume 18, Issue 1, Year 2018, On page(s): 11 - 20
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2018.01002
Web of Science Accession Number: 000426449500002
SCOPUS ID: 85043277157
Real-time image processing and object detection techniques have a great potential to be applied in digital assistive tools for the blind and visually impaired persons. In this paper, algorithm for crosswalk detection and walk light recognition is proposed with the main aim to help blind person when crossing the road. The proposed algorithm is optimized to work in real-time on portable devices using standard cameras. Images captured by camera are processed while person is moving and decision about detected crosswalk is provided as an output along with the information about walk light if one is present. Crosswalk detection method is based on multiresolution morphological image processing, while the walk light recognition is performed by proposed 6-stage algorithm. The main contributions of this paper are accurate crosswalk detection with small processing time due to multiresolution processing and the recognition of the walk lights covering only small amount of pixels in image. The experiment is conducted using images from video sequences captured in realistic situations on crossings. The results show 98.3% correct crosswalk detections and 89.5% correct walk lights recognition with average processing speed of about 16 frames per second.
|References|||||Cited By «-- Click to see who has cited this paper|
| L. Hakobyan, J. Lumsden, D. O'Sullivan, and H. Bartlett, "Mobile assistive technologies for the visually impaired," Surv. Ophthalmol., vol. 58, no. 6, pp. 513528, Nov. 2013. |
[CrossRef] [Web of Science Times Cited 48] [SCOPUS Times Cited 68]
 D. Dakopoulos and N. G. Bourbakis, "Wearable Obstacle Avoidance Electronic Travel Aids for Blind: A Survey," IEEE Trans. Syst. Man Cybern. Part C Appl. Rev., vol. 40, no. 1, pp. 2535, Jan. 2010.
[CrossRef] [Web of Science Times Cited 238] [SCOPUS Times Cited 330]
 R. Tapu, B. Mocanu, and E. Tapu, "A survey on wearable devices used to assist the visual impaired user navigation in outdoor environments," in Electronics and Telecommunications (ISETC), 2014 11th International Symposium on, 2014, pp. 14.
[CrossRef] [SCOPUS Times Cited 16]
 J. Choi, B. T. Ahn, and I. S. Kweon, "Crosswalk and traffic light detection via integral framework," in Frontiers of Computer Vision,(FCV), 2013 19th Korea-Japan Joint Workshop on, 2013, pp. 309312.
[CrossRef] [SCOPUS Times Cited 17]
 T. Asami and K. Ohnishi, "Crosswalk location, direction and pedestrian signal state extraction system for assisting the expedition of person with impaired vision," in Mecatronics (MECATRONICS), 2014 10th France-Japan/8th Europe-Asia Congress on, 2014, pp. 285290.
[CrossRef] [SCOPUS Times Cited 9]
 M. Radvanyi, B. Varga, and K. Karacs, "Advanced crosswalk detection for the Bionic Eyeglass," in 12th International Workshop on Cellular Nanoscale Networks and Their Applications (CNNA), 2010, pp. 15.
 M. S. Uddin and T. Shioyama, "Detection of Pedestrian Crossing Using Bipolarity Feature-an Image-based Technique," Trans Intell Transp. Sys, vol. 6, no. 4, pp. 439445, Dec. 2005.
[CrossRef] [Web of Science Times Cited 5] [SCOPUS Times Cited 16]
 J. M. Coughlan and H. Shen, "A fast algorithm for finding crosswalks using figure-ground segmentation," in Proc. 2nd Workshop on Applications of Computer Vision, in conjunction with ECCV, 2006.
 J. M. Coughlan and H. Shen, "Crosswatch: a System for Providing Guidance to Visually Impaired Travelers at Traffic Intersections," J. Assist. Technol., vol. 7, no. 2, Apr. 2013.
[CrossRef] [SCOPUS Times Cited 25]
 S. Wang, H. Pan, C. Zhang, and Y. Tian, "RGB-D image-based detection of stairs, pedestrian crosswalks and traffic signs," J. Vis. Commun. Image Represent., vol. 25, no. 2, pp. 263272, Feb. 2014.
[CrossRef] [Web of Science Times Cited 67] [SCOPUS Times Cited 89]
 M. Poggi, L. Nanni, and S. Mattoccia, "Crosswalk Recognition Through Point-Cloud Processing and Deep-Learning Suited to a Wearable Mobility Aid for the Visually Impaired," in New Trends in Image Analysis and Processing -- ICIAP 2015 Workshops, 2015, pp. 282289.
[CrossRef] [Web of Science Times Cited 10] [SCOPUS Times Cited 15]
 Y. Jie, C. Xiaomin, G. Pengfei, and X. Zhonglong, "A new traffic light detection and recognition algorithm for electronic travel aid," in Intelligent Control and Information Processing (ICICIP), 2013 Fourth International Conference on, 2013, pp. 644648.
[CrossRef] [SCOPUS Times Cited 21]
 V. Ivanchenko, J. Coughlan, and H. Shen, "Real-time walk light detection with a mobile phone," in Computers Helping People with Special Needs, Springer, 2010, pp. 229234.
[CrossRef] [SCOPUS Times Cited 20]
 S. Mascetti, D. Ahmetovic, A. Gerino, C. Bernareggi, M. Busso, and A. Rizzi, "Robust traffic lights detection on mobile devices for pedestrians with visual impairment," Comput. Vis. Image Underst., vol. 148, pp. 123135, Jul. 2016.
[CrossRef] [Web of Science Times Cited 20] [SCOPUS Times Cited 37]
 K. Romic, I. Galic, and H. Leventic, "Influence of the input image resolution on the staircase detection," in ELMAR, 2016 International Symposium, 2016, pp. 177180.
[CrossRef] [SCOPUS Times Cited 2]
 W. Hackbusch, "Multi-Grid Methods and Applications", pp. 80-96, Springer Science & Business Media, 2013.
 C. Fernandez-Maloigne, F. Robert-Inacio, and L. Macaire, "Digital Color: Acquisition, Perception, Coding and Rendering", pp. 65-90, John Wiley & Sons, 2013.
 W. Burger and M. J. Burge, "Digital Image Processing: An Algorithmic Introduction Using Java", pp. 291-325, Springer, 2016.
 P. Soille, "Morphological Image Analysis: Principles and Applications", pp. 105-135, Springer Science & Business Media, 2013.
 K. Romic, I. Galic, and T. Galba, "Technology assisting the blindVideo processing based staircase detection," in ELMAR (ELMAR), 2015 57th International Symposium, 2015, pp. 221224
[CrossRef] [SCOPUS Times Cited 4]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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