| 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. |