Extraction of the Region Feasible for Safe Ambulation from Head-mounted Wearable Camera Images mploying Genetic Algorithm on Homography Constraints
The objects have potentially dangerousness for pedestrians, such as illegally-parked bicycles, power poles, stopping vehicles, etc., could be found in a street. Those objects are threats to the safety of elderly and disabled people with impaired vision, because it is difficult for them to find those objects. In this paper, to enhance the elderly and disabled peoples mobility, we propose the method to estimate the region which is feasible for peoples mobility in life space. In this method, the images are obtained from a head-mounted wearable camera, and the suited region for walking is estimated using 3dimensional analysis and genetic algorithm. The performance and the validity are shown by applying the proposed method to a number of scenes in life space.
low vision aid obstacle detection image segmentation
Hideaki Orii KeitaroTominaga Hideaki Kawano Hiroshi Maeda Norikazu Ikoma
Graduate School of Engineering, Kyushu Institute of Technology, Kitakyushu, 804-8550, Japan. Faculty of Engineering, Kyushu Institute of Technology,Kitakyushu, 804-8550, Japan. Faculty of Engineering, Kyushu Institute of Technology, Kitakyushu, 804-8550, Japan.
国际会议
湘潭
英文
633-640
2011-07-19（万方平台首次上网日期，不代表论文的发表时间）