Identifying Logical Location via GPS-Enabled Mobile phone and Wearable Camera

More and more location-based services become relying on the logical notion of a physical location, known as logical location (e.g. Starbucks, KFC). In this paper, we propose a new way to identify logical location using (1) a GPS-enabled mobile phone and (2) a wearable camera embedded in user's glasses. When a user with a wearable camera is detected paying attention to a certain physical location, all the logical locations within the error range of the GPS coordinates are considered as the matched candidates. We select the representative frames in the video stream corresponding to user's interested location in real-time and use multi-view images taken beforehand to represent each logical location. We then extract the Scale Invariant Feature Transform visual features from both the representative video frames and pre-stored images of International Journal of Pattern Recognition and Arti ̄cial Intelligence Vol. 26, No. 8 (2012) 1260007 (23 pages) #.c World Scienti ̄c Publishing Company DOI: 10.1142/S0218001412600075