Abstract:

In order to make intelligent video surveillance system not only have a high accuracy rate but also be assured the real-time, A practical moving target detection and tracking algorithm was implemented.First,preprocessing the captured image in order to provide the best image data.Then implementing the forground/background segmentation using the method of Gaussian Mixture Background Modeling,extracting forground objects using morphological operations.Finally implementing target tracking using distance of space-based method.Through applying the algorithm to the experimental system,the paper came to a conclusion is that the system can detect the moving object and tracking correctly while ensured the real-time.

Key words: computer application, moving target detecting and tracking, Gaussian mixture background modeling, space distance