City Eyes: An Unified Computational Framework for Intelligent Video Surveillance in Cloud Environment

Over the past few years we have seen explosive growth in the amount of data and researchers are now facing greater challenges in dealing with heterogeneous data increasing in an unprecedented speed. There is a clear need for intelligent surveillance systems since the size of video data has become too large to be reviewed by humans. In this paper, we propose an unified computational framework, which aims to simplify the integration of various video analysis techniques and enables rapid application development to meet the diverse needs in different application domains. It is built upon a cloud based architecture to appropriately deal with the massive data analysis problem. Several example applications are implemented to demonstrate the effectiveness of the proposed system in assisting users to deal with different problems of video surveillance in real-world cases.