Title
CrowdAnalyzer: A collaborative visual analytic system
Abstract
The 2015 VAST mini challenge conjured up an amusement park - DinoFun World, which owns hundreds of hectares and hosts thousands of visitors every day. With access to movement tracking information of visitors, the task of mini challenge 1 was to identify patterns of attendance and park's activities. Understanding visitor groups and monitoring visitors' activities are vitally important for mangers to provide exceptional service and handle unexpected situations. Facing the large and complex tracking dataset, visual analytic system should not only be able to present the overall situation, but also help operators to analyze information and compare between different patterns.
Year
DOI
Venue
2015
10.1109/VAST.2015.7347668
2015 IEEE Conference on Visual Analytics Science and Technology (VAST)
Keywords
DocType
Citations 
Visual Analytics,Statistical Analytics,Information Visualization,Information Interfaces,User Interfaces
Conference
0
PageRank 
References 
Authors
0.34
0
13
Name
Order
Citations
PageRank
Shuang Wei100.34
Kai Hu200.34
Longjie Cheng311.30
Hui Tang400.34
Weidan Du501.01
Chen Guo600.34
Chao Pan700.34
Mingran Li812.06
Bing Yu900.34
Xinzhe Li10143.67
Victor Yingjie Chen115227.37
Zhenyu Cherly Qian1200.34
Yu Michael Zhu1301.35