MovementFinder: A Multi-filter Visual Analytics Design for Movement Data Investigation

Siming Chen, Zuchao Wang, Zipeng Liu, Zhenhuang Wang, Chenglong Wang, Zhengjie Miao and Xiaoru Yuan

Abstract

In this paper, we propose MovementFinder, a multi-filter visual analytics systemfor movement data investigation. Our system integrates movement information from differentdatasets. Then with various visualizations and multiple filters, it is able to summarize thegeneral movement patterns of a group of people, and help analysts detect abnormal events.Case studies demonstrate its effectiveness in a fictious analysis scenario.

Publication
In 2014 IEEE Conference on Visual Analytics Science and Technology (VAST)
Date
November, 2014
Links
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