City Research Online

Abstract

The VAST 2014 Mini-challenge 2 provided a set of GPS vehicle tracking and credit card transaction data with the aim of inferring behavior of those using the vehicles and credit cards. In particular it required designing or applying a visual analytics system to identify typical behaviours with which atypical, suspicious activity could be contrasted. It is an example of the more general case of inferring behavior from movement records (e.g., from mobile devices or public bikeshare schemes). In this brief paper we summarise the design taken to address the particular VAST challenge while proposing a general approach to movement-based behaviour detection.

Publication Type:	Conference or Workshop Item (Paper)
Additional Information:	© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Publisher Keywords:	Movement visualization, visual analytics, GPS, coordinated views, geospatial
Subjects:	G Geography. Anthropology. Recreation > GA Mathematical geography. Cartography Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments:	School of Science & Technology > Computer Science > giCentre

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