关键词: 城市应急事件, 监控视频, 智能解析, 事件情境模型

Abstract: With the acceleration of urban modernization process, it’s urgent to construct an efficient and comprehensive system for managing the urban emergency. Surveillance videos obtained by monitors in multiple locations in cities are the indispensable input data of management system. However, these videos are processed by human with high costs and poor results. This paper proposes an intelligent approach for analyzing surveillance videos of urban emergency. Based on open source computer vision libraries, this approach extracts the quantities and locations of objects. Generating tracks of objects and matching pre-set abnormal templates, normalized context model of emergencies is constructed, and subsequently used for analyzing and warning. This paper also operates the proposed approach on videos acquired in districts of a university campus and high-tech park, in order to evaluate the feasibility and reasonability of the proposed approach.

Key words: urban emergency, surveillance video, intelligent analyzing, event context model