Identification of Markers in Blind Navigation Orientation in Environments

• André Zuconelli IFC
• Manassés Ribeiro IFC

Abstract

This work presents a methodology for landmarks segmentation and identification to be used as reference points for navigation systems for blind people. Assistive technologies are of interest in the possibility to provide people with disabilities a more independent life. The method, in development, propose to solve the problem in a modular procedure in four steps : determining a region of interest, initial image processing, apply methods to thresholding, edge detection and landmark identification. Finally, experiments will be presented with the proposed method and results will be discussed.

References

Canny, J. (1986). A computational approach to edge detection. IEEE Trans. Pattern Anal. Mach. Intell., 8(6):679–698.

Costa, P., Fernandes, H., Vasconcelos, V., Coelho, P., Barroso, J., and Hadjileontiadis, L. (2011). Fiducials Marks Detection to Assist Visually Impaired People Navigation. International Journal of Digital Content Technology and its Applications, 5(5):342–350.

Dakopoulos, D. and Bourbakis, N. (Jan.). Wearable obstacle avoidance electronic travel aids for blind: A survey. Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on, 40(1):25–35.

Freire, P. G., Silva, B. C. G., Bernardes, D., Tavares, J. C., Mello, R. F., and Ferrari1, R. J. (2012). Detecção de leucócitos em imagens de vídeo de microscopia intravital. In Anais do XXXII Congresso da Sociedade Brasileira de Computação (CSBC). XII Workshop de Informática Médica (WIM 2012).

Gonzalez, R. C. and Woods, R. E. (2010). Processamento digital de imagens 3ª edição. Pearson Education, 3ª edição edition.

Gonçalves, E. R., Avila, M., and Lousada, N. (2004). Projeto pequenos olhares. Conselho Brasileiro de Oftalmologia.

Hager, G. D., Kriegman, D., Yeh, E., and Rasmussen, C. (1997). Image-based prediction of landmark features for mobile robot navigation. In In IEEE Conf. on Robotics and Automation (ICRA), pages 1040–1046.