Indoor navigation by image recognition
Choi I.T.; Leong C.C.; Hong K.W.; Pun C.-M.
Conference NameNinth International Conference on Digital Image Processing (ICDIP 2017)
Source PublicationProceedings of SPIE - The International Society for Optical Engineering
Conference DateMay 19, 2016 - May 22, 2016
Conference PlaceHong Kong, China

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.

KeywordImage Recognition Indoor Navigation Smartphone Application
URLView the original
WOS Research AreaImaging Science & Photographic Technology
WOS SubjectImaging Science & Photographic Technology
WOS IDWOS:000412113300016
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Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
AffiliationUniversidade de Macau
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Choi I.T.,Leong C.C.,Hong K.W.,et al. Indoor navigation by image recognition[C],2017.
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