Scalable Recognition with a Vocabulary Tree
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Color targets: fiducials to help visually impaired people find their way by camera phone
Journal on Image and Video Processing
Autonomous navigation through the city for the blind
Proceedings of the 12th international ACM SIGACCESS conference on Computers and accessibility
SURF: speeded up robust features
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Outdoor situation recognition using support vector machine for the blind and the visually impaired
PRICAI'12 Proceedings of the 12th Pacific Rim international conference on Trends in Artificial Intelligence
"Pray before you step out": describing personal and situational blind navigation behaviors
Proceedings of the 15th International ACM SIGACCESS Conference on Computers and Accessibility
Hi-index | 0.00 |
This paper presents an indoor wayfinding system to help the visually impaired finding their way to a given destination in an unfamiliar environment. The main novelty is the use of the user's situation as the basis for designing color codes to explain the environmental information and for developing the wayfinding system to detect and recognize such color codes. Actually, people would require different information according to their situations. Therefore, situation-based color codes are designed, including location-specific codes and guide codes. These color codes are affixed in certain locations to provide information to the visually impaired, and their location and meaning are then recognized using the proposed wayfinding system. Consisting of three steps, the proposed wayfinding system first recognizes the current situation using a vocabulary tree that is built on the shape properties of images taken of various situations. Next, it detects and recognizes the necessary codes according to the current situation, based on color and edge information. Finally, it provides the user with environmental information and their path through an auditory interface. To assess the validity of the proposed wayfinding system, we have conducted field test with four visually impaired, then the results showed that they can find the optimal path in real-time with an accuracy of 95%.