Video Surveillance System, Moving Target Detection And Tracking Technology Research

Intelligent monitoring system is a hot field of computer vision problems is one of the main research field of computer vision, and has been widely used in the military, security and other fields. Moving target detection and tracking technology is the core of intelligent video surveillance system, and therefore the study moving target detection and tracking technology of intelligent monitoring system performance and efficiency is of great significance.This thesis studies the moving target detection and tracking algorithms exist in some of the key issues and the corresponding algorithm has done a validation. The main researches in this thesis are as follows:In the moving target detection section, first, of several commonly used algorithms: inter-frame difference method, background subtraction and single Gaussian background model were compared. Focus on comparison of two frame differential and three frame differential detection results, the experiments show that although the three finite difference method has been greatly improved in the test result than the two test results, but the detected movement of the target area is also far from complete, and there are a large number of empty existence. In this paper, the background subtraction method is added to the three frame differential method for testing. Compared through experiments of the original three differential method and the improved algorithm detection. Experiments show that the improved algorithm can extract the complete moving target, eliminating the phenomenon of empty.In the moving target tracking part of this paper, Kalman filter motion model to establish the first goal with the Kalman filter predict the general area, and then the forecast area for target matching, effectively moving target tracking. Finally, the paper do a fairly dissertation on the target feature matching algorithm , and the experiments proved that the tracking algorithm based on Kalman filter more effective, able to reliably predict and track the moving target.Finally, the use of Visual C++ 6.0 development platform and OpenCV designed a simple monitoring system, presentation software. To further validate the effectiveness of the algorithm.