Title :
A novel obstacle detection method based on deformable grid for the visually impaired
Author :
Mun-Cheon Kang ; Sung-Ho Chae ; Jee-Young Sun ; Jin-Woo Yoo ; Sung-Jea Ko
Author_Institution :
Sch. of Electr. Eng., Korea Univ., Seoul, South Korea
Abstract :
To assist visually impaired people, a variety of obstacle detection (OD) methods with the monocular vision have been developed. Most conventional OD methods detect the obstacle by using the variation of the motion vector or the object size between two consecutive image frames. However, the OD performance using the short-term variation is significantly affected by the tracking error, which leads to inaccurate OD results. To cope with this problem, this paper presents a novel OD method based on a new structure, called Deformable Grid (DG). The DG is initially a regular gridshaped, but it can be deformed gradually depending on the motion of the object in the scene. The proposed method detects the object at risk of collision based on the degree of the deformation of the DG. Experimental results demonstrate that the proposed OD method outperforms the conventional ones in terms of processing time as well as accuracy.
Keywords :
handicapped aids; natural scenes; object detection; OD methods; deformable grid; deformation degree; image frames; object motion; obstacle detection method; regular grid-shaped DG; tracking error; visually impaired people; Accuracy; Cameras; Image edge detection; Iron; Robustness; Sensors; Shape; Electronic Travel Aids (ETA); Obstacle detection; Time to Contact (TTC); collision detection; visually impaired;
Journal_Title :
Consumer Electronics, IEEE Transactions on
DOI :
10.1109/TCE.2015.7298298