Nabeel Younus Khan
ABSTRACT
Blind people are unable to navigate easily in unfamiliar indoor environments without assistance. Knowing the current location is a particularly important aspect of indoor navigation. Scene identification in indoor buildings without any Global Positioning System (GPS) is a challenging problem. We present a smart phone based assistive technology which uses computer vision techniques to localize the indoor location from a scene image. The aim of our work is to guide blind people during navigation inside buildings where GPS is not effective. Our current system uses a client-server model where the user takes a photo from their current location, the image is sent to the server, the location is sent back to the mobile device, and a voice message is used to convey the location information.
- N. Khan. Indoor images of office buildings (nz). http://www.cs.otago.ac.nz/pgdweb/nabeel/Downloads/.Google Scholar
- N. Khan, B. McCane, and G. Wyvill. Sift and surf performance evaluation against various image deformations on benchmark dataset. In Proc. of IEEE DICTA, pages 501--506, 2011. Google ScholarDigital Library
- N. Y. Khan, B. Mccane, and G. Wyvill. Homography based Visual Bag of Word Model for Scene Matching in Indoor Environments. In Proc. of IVCNZ, 2011.Google Scholar
Index Terms
- Smartphone application for indoor scene localization
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