The Main Technology's Research Of Custom Dock Intelligent Video Surveillance System

With the rapid development of network and digital video technology,the monitoring technology is toward intelligent,network-based forward.Intelligent video surveillance is an emerging field of computer vision application.It is no longer required human intervention, with using computer vision and video analysis for automatic analyzing the image sequence, identifying the location and tracking the trajectory of moving target.Meanwhile,the intelligent video surveillance systems could analysis and judge the behavior of moving targets.In the day-to-day management,System could responds of anomalies in a timely manner.From its function,the video surveillance can be used for security,access to information and control,and so on.In this paper,we discuss a number of key technologies for intelligent video surveillance, including background modeling,the object extraction,object recognition,the object description,the object tracking,and the behavior analysis of the object.With the background of intelligent video surveillance for the Customs dock,the paper has an in-depth study on the problem of moving target detection,extraction and tracking,designs and develops the system of Custom Dock Intelligent Inspecting System intelligent(CDIIS).The main work includes:1.An improved Mixture Gaussian model of background modeling has been proposed, and a smoothing equation has been introduced for detecting the moving object,modeling the sequence of images background,and separating the multiple objects from the background scene with the Static camera.The proposed algorithm can resolve the impact of weather and light change,the Camera tiny jitter problems for the captured images in a dynamic environment.2.A new method of the invariant moment features based on the outline,for describing features of the moving target,has been proposed.The extraction of moving target used external polygon method of the initial outline,and the Snake algorithm to calculate a detailed outline of moving objects.According to the features of the objects of the Customs dock,we proposed the new method,which has been proved that it could describe the outline feature of moving objects more accurately and computing more shortly,compared with the traditional method.3.A fast CamShift algorithm with the combination of active Contour model has been proposed,for tracking moving objects,which could solve the cover problem of tracking objects effectively.In the process,we introduce the Epanechikov Kernel function to smooth the color probability distribution,and proved its convergence.The results prove that the Epanechikov Kernel function could smooth the input information.And the fast CamShift algorithm is also better real-time and a strong anti-interference capability.The CDIIS has been running on Zhenjiang Customs dock,the implement results show that a set of methods,we used,to achieve the desired results.