The Big Data Analysis of the Next Generation Video Surveillance System for Public Security

Zheng Xu, Zhiguo Yan, Lin Mei, Hui Zhang

Abstract: Video surveillance has become the main tool due to its rich, intuitive and accurate information. However, with the large-scale construction of video surveillance systems all over the world, problems such as “useful information and clues cannot be found immediately with video big data” decrease detecting efficiency during crime prediction and public security governance. This paper concludes a novel architecture for next generation public security system, and the “front+back” pattern is adopted. Under the architecture, cloud computing technologies such as distributed storage and computing, data retrieval of huge and heterogeneous data are introduced, and multiple optimized strategies to enhance the utilization of resources and efficiency of tasks.