CrowdAnalyzer: A collaborative visual analytic system

Shuang Wei, Kai Hu, Longjie Cheng, Hui Tang, Weidan Du, Chen Guo, Chao Pan, Mingran Li, Bing Yu, Xinzhe Li, Yingjie Victor Chen, Zhenyu Cheryl Qian, Yu Michael Zhu

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.