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Proceedings Paper

Indoor navigation by image recognition
Author(s): Io Teng Choi; Chi Chong Leong; Ka Wo Hong; Chi-Man Pun
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Paper Abstract

With the progress of smartphones hardware, it is simple on smartphone using image recognition technique such as face detection. In addition, indoor navigation system development is much slower than outdoor navigation system. Hence, this research proves a usage of image recognition technique for navigation in indoor environment. In this paper, we introduced an indoor navigation application that uses the indoor environment features to locate user’s location and a route calculating algorithm to generate an appropriate path for user. The application is implemented on Android smartphone rather than iPhone. Yet, the application design can also be applied on iOS because the design is implemented without using special features only for Android. We found that digital navigation system provides better and clearer location information than paper map. Also, the indoor environment is ideal for Image recognition processing. Hence, the results motivate us to design an indoor navigation system using image recognition.

Paper Details

Date Published: 21 July 2017
PDF: 5 pages
Proc. SPIE 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017), 104200H (21 July 2017); doi: 10.1117/12.2281569
Show Author Affiliations
Io Teng Choi, Univ. of Macau (Macao, China)
Chi Chong Leong, Univ. of Macau (Macao, China)
Ka Wo Hong, Univ. of Macau (Macao, China)
Chi-Man Pun, Univ. of Macau (Macao, China)


Published in SPIE Proceedings Vol. 10420:
Ninth International Conference on Digital Image Processing (ICDIP 2017)
Charles M. Falco; Xudong Jiang, Editor(s)

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