Mining Mobility Patterns from Geotagged Photos Through Semantic Trajectory Clustering. Issue 4 (19th May 2018)

• Record Type: Journal Article
• Authors: Cai, Guochen; Lee, Kyungmi; Lee, Ickjai
• Is Part Of: Cybernetics and systems. Volume 49:Issue 4(2018)
• Page Start: 234
• Page End: 256
• Publication Date: 2018-05-19
• Subjects: Common trajectory patterns -- geotagged photos -- semantic behaviors -- semantic trajectories; Cybernetics -- Periodicals; System theory -- Periodicals; 003.5
• DOI: 10.1080/01969722.2018.1448236
• Languages: English
• ISSNs: 0196-9722

Abstract

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.