Abstract
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 people's mobility, we propose the method to estimate the region which is feasible for people's mobility in life space. In this method, the images are obtained from a head-mounted wearable sensor device, and the suited region for walking is estimated using a weak assumption with respect to an installation requirement of the device and the geometric relationship between the device and the target region. The performance and the validity are shown by applying the proposed method to a number of scenes in life space.
Highlights
The objects have potentially dangerousness for pedestrians, such as illegally-parked bicycles, power poles, stopping vehicles, etc., could be found in a street as shown in Fig.1 (a)
There are individual differences in appearance of low vision depending on the symptoms
Those people have a high risk of sudden accident in life space because it is hard for them to recognize the potential dangerous objects
Summary
The objects have potentially dangerousness for pedestrians, such as illegally-parked bicycles, power poles, stopping vehicles, etc., could be found in a street as shown in Fig. (a) 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 and get around. Fujiyoshi et al [1] proposed a road observation and information providing system for pedestrian In this system, the information of moving objects and road situation is detected using environment embedded terminal, such as monitoring cameras, placed in a street, and is provided for users through a mobile terminal. We employ a weak assumption with respect to an installation requirement of the device and the geometric relationship between the device and the target region This approach aims to detect a poor texture object stably
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