A novel route restoring method upon geo-tagged photos

• Guannan Wang,
• Zhizhong Wang,
• Zhenmin Zhu,
• Saiping Wen,

Vol. 7, No. 5, May 30, 2013
10.3837/tiis.2013.05.017, Download Paper (Free):

• Geo-tagged Photo
• Hot spot
• Travel route
• Route restoring
• trajectory mining

Abstract

Sharing geo-tagged photos has been a hot social activity in the daily life because these photos not only contain geo information but also indicate people’s hobbies, intention and mobility patterns. However, the present raw geo-tagged photo routes cannot provide information as enough as complete GPS trajectories due to the defects hidden in them. This paper mainly aims at analyzing the large amounts of geo-tagged photos and proposing a novel travel route restoring method. In our approach we first propose an Interest Measure Ratio to rank the hot spots based on density-based spatial clustering arithmetic. Then we apply the Hidden Semi- Markov model and Mean Value method to demonstrate migration discipline in the hot spots and restore the significant region sequence into complete GPS trajectory. At the end of the paper, a novel experiment method is designed to demonstrate that the approach is feasible in restoring route, and there is a good performance.

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