【作者】 张新新；

【导师】 孔英会；

【作者基本信息】 华北电力大学（河北） ， 通信与信息系统， 2010， 硕士

【摘要】 近年来,随着中国经济的高速发展以及“平安城市”建设步伐的迈进,智能视频监控系统也开始在一些重要场合和公共领域迅速普及起来。它的异常分析功能可以自动判断目标行为,因此既能完成日常管理又能在异常情况发生的时候及时做出反应。本文对视频监控中的异常分析构建了一个完整的系统方案。首先用混合多高斯模型与基本背景减法相结合进行运动目标检测;然后用基于MeanShift算法的方法跟踪目标;最后在跟踪的过程中分析目标是否有禁区入侵异常、快速奔跑异常或遗留包裹异常。通过用多段不同实验视频进行算法仿真,本文验证了所用异常分析方法的有效性以及在实际应用中的可行性。更多还原

【Abstract】 In recent years, with China’s rapid economic development as well as the pace of construction of“Green City”, intelligent video surveillance system has also begun to popularize in some important occasions and public domains.Its function of anomaly analysis can automatically determine the objective behavior,so it can not only complete the daily management but also respond timely when the anomalies occur.In this paper,a complete syetem solution about anomal analysis of video surveillance is built.First,detecting the moving object using the combining method of hybrid Multi-Gaussian Model and Basic Background Subtraction. Then,tracking the object using the method based on MeanShift algorithm.Finally,analyzing the object whether it has the anomalies of invasion,rapid running or leaving over the parcels.By simulating many different experimental videoes,the test verify the validity of the anomaly analysis methods and the feasibility in practical application.更多还原