Mining mobility patterns from geotagged photos through semantic trajectory clustering

Cai, Guochen, Lee, Kyungmi, and Lee, Ickjai (2018) Mining mobility patterns from geotagged photos through semantic trajectory clustering. Cybernetics and Systems, 49 (4). pp. 234-256.

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Abstract

Increasing geotagged social media data has become a potential repository used to find common trajectory patterns. Various spatial trajectory behaviors have been studied in previous work. In this paper, we extract common trajectory patterns on semantic level. We enrich trajectories with additional contextual semantic annotations and propose a density-based method to find semantic common trajectory patterns with a novel similarity measure method. Real geotagged photo data are used in our experiments. Experimental results demonstrate that our methods are able to generate semantic common trajectory patterns.

Item ID: 55002
Item Type: Article (Refereed Research - C1)
Keywords: common trajectory patterns, geotagged photos, semantic behaviors, semantic trajectories
ISSN: 1087-6553
Date Deposited: 13 Aug 2018 23:13
FoR Codes: 08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining @ 100%
SEO Codes: 89 INFORMATION AND COMMUNICATION SERVICES > 8902 Computer Software and Services > 890299 Computer Software and Services not elsewhere classified @ 100%
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