Visual navigation for the blind: Path and obstacle detection

ICPRAM 2012 - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods

Volumn 2, Issue , 2012, Pages 515-519

  Jose J ^a   Du Buf, J M H ^a   Rodrigues, J M F ^a  

^a UNIVERSITY OF ALGARVE   (Portugal)

Author keywords

Obstacle avoidance; Obstacle detection; Path detection

Indexed keywords

CAMERA POSITIONS; OBSTACLE DETECTION; REAL TIME VISION; TEXTURE MASK; VISUAL NAVIGATION; VISUALLY IMPAIRED PERSONS; WHITE CANE; ZERO-CROSSINGS;

COLLISION AVOIDANCE; HANDICAPPED PERSONS; HOUGH TRANSFORMS; PATTERN RECOGNITION;

OBSTACLE DETECTORS;

EID: 84862193072     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Canny, J. (1986). A computational approach to edge detection. IEEE Trans. Pattern Anal. Mach. Intell., 8(6):679-698.
2. CASBliP (2009). Final activity report of the EU-funded CASBliP project. http://casblipdif.webs.upv.es/.
3. du Buf, J., Barroso, J., Rodrigues, J., Paredes, H., Farrajota, M., Fernandes, H., José, J., Teixeira, V., and Saleiro, M. (2011). The smartvision navigation prototype for blind users. JDCTA: International Journal of Digital Content Technology and its Applications, 5(5):351- 361.
4. Duda, R. and Hart, P. (1972). Use of the hough transform to detect lines and curves in pictures. Comm. ACM, 15:11-15.
5. Kim, L., Park, S., Lee, S., and Ha, S. (2009). An electronic traveler aid for the blind using multiple range sensors. IEICE Electronics Express, 11(6):794-799.
6. Laws, K. (1980). Textured image segmentation. PhD thesis, USCIPI Report 940, Image Processing Inst., Univ. of Southern California, Los Angeles (USA).
7. Lee, S., Kang, S., and Lee, S. (2008). A walking guidance system for the visually impaired. Int. J. Pattern Recogn. Artif. Intell, 22(6):1171-1186.