Abstract
We propose ParkVis, a visual analytic system for tracking the unusual patterns of all paying park visitors. Using both communication and movement data, park officers can use our system to identify and gauge the extent of unusual activity occurring in the park.
Type
Publication
In IEEE Symposium on Visual Analytics Science and Technology (VAST poster)
Shaoyu Chen
CS PhD Student
My research interests include virtual/augmented reality, data visualization.