A Visual Explorer for Analyzing Trajectory Patterns

Wooil Kim, Changbeom Shim, Ilhyun Suh, Yon Dohn Chung

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper, we propose a web-based interactive visual analytic system effective for revealing the trajectory patterns. We describe the analysis approach with the data of MC1 of the VAST challenge 2017. Index Terms - Visual analytics, Information visualization.

Original languageEnglish
Title of host publication2017 IEEE Conference on Visual Analytics Science and Technology, VAST 2017 - Proceedings
EditorsTobias Schreck, Brian Fisher, Shixia Liu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages199-200
Number of pages2
ISBN (Electronic)9781538631638
DOIs
Publication statusPublished - 2018 Dec 21
Event2017 IEEE Conference on Visual Analytics Science and Technology, VAST 2017 - Phoenix, United States
Duration: 2017 Oct 12017 Oct 6

Other

Other2017 IEEE Conference on Visual Analytics Science and Technology, VAST 2017
CountryUnited States
CityPhoenix
Period17/10/117/10/6

Keywords

  • Information visualization
  • Visual analytics

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Human-Computer Interaction
  • Information Systems
  • Media Technology

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  • Cite this

    Kim, W., Shim, C., Suh, I., & Chung, Y. D. (2018). A Visual Explorer for Analyzing Trajectory Patterns. In T. Schreck, B. Fisher, & S. Liu (Eds.), 2017 IEEE Conference on Visual Analytics Science and Technology, VAST 2017 - Proceedings (pp. 199-200). [8585462] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VAST.2017.8585462