ParkAnalyzer: Characterizing the movement patterns of visitors: VAST 2015 Mini-Challenge 1

Jieqiong Zhao, Guizhen Wang, Junghoon Chae, Hanye Xu, Siqaio Chen, William Hatton, Sherry Towers, Mahesh Babu Gorantla, Benjamin Ahlbrand, Jiawei Zhang, Abish Malik, Sungahn Ko, David S. Ebert

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

The 2015 VAST challenge features movement tracking (Mini-Challenge 1 (MC1)) and communication information (Mini-Challenge 2 (MC2)) datasets of all visitors in an amusement park over a three-day weekend. The data includes around 25 million individual movement records, along with 4 million communication records. Analyzing and exploring such large-scale datasets require intelligent data mining methods that characterize the overall trends and anomalies, as well as interactive visual interfaces to support investigation at different spatiotemporal granularities. The objective of MC1 was to characterize the behavior of different groups of visitors, compare different activity patterns over the three days, and discover anomalies or unusual behavior patterns that relate to the crime that occurred during the weekend. We utilized both movement data provided in MC1 and communication data provided in MC2 to answer the questions asked in MC1.

Original languageEnglish
Title of host publication2015 IEEE Conference on Visual Analytics Science and Technology, VAST 2015 - Proceedings
EditorsMin Chen, Gennady Andrienko
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages179-180
Number of pages2
ISBN (Electronic)9781467397834
DOIs
StatePublished - Dec 4 2015
Externally publishedYes
Event10th IEEE Conference on Visual Analytics Science and Technology, VAST 2015 - Chicago, United States
Duration: Oct 25 2015Oct 30 2015

Publication series

Name2015 IEEE Conference on Visual Analytics Science and Technology, VAST 2015 - Proceedings

Conference

Conference10th IEEE Conference on Visual Analytics Science and Technology, VAST 2015
Country/TerritoryUnited States
CityChicago
Period10/25/1510/30/15

Funding

Acknowledgements: This work was partially funded by the U.S. Department of Homeland Security's VACCINE Center under Award Number 2009-ST- 061-CI0006.

Fingerprint

Dive into the research topics of 'ParkAnalyzer: Characterizing the movement patterns of visitors: VAST 2015 Mini-Challenge 1'. Together they form a unique fingerprint.

Cite this