Based On Computer Vision Moving Target Detection And Tracking

Moving target detection and tracking is to image processing,automatic control, information science and technology combine,forms one kind to be able to examine the movement goal fast from the pictorial information,the extraction target position information and the real-time tracking object technology.It is foundation of computer images and video processing work,which widely used in industrial,medical,military,education,business, sports and other areas.In this dissertation discussed and studied the key technology of moving object detection and tracking on video surveillance systems,as well as the ordinary PC implementation of these algorithms.On the research of moving object detection,by studying and analyzing a great number of methods,in this dissertation,an improved background subtraction algorithm based on Gaussian model has been proposed,and a hybrid detection framework by combining ordinary Histogram model and Gaussian model differencing algorithm has been presented. This framework can establish Histogram model for background pixel which is single mode, and establish mixture Gaussian model for background pixel which is multiple mode.In addition,the paper used the background color difference method to get moving targets,and joined the shadow detection,and other functions so that the goal of moving targets dynamic acquisition more complete,robust stronger.This algorithm can achieve higher sensitivity and more robust detection result.On the research of object tracking,a simple version of MLE(Maximum Likelihood Estimation) is used to make the classification decision in this dissertation and built tracking priorities for multiple targets.By studying several related algorithm,this dissertation improves the extend Kalman filter to tracking targets which make use of the detection results and compare centroid position and area instead of complicated template matching,thus this method improve the tracking speed,as well as handling the cluttered scene with a simplicity and efficient approach.To validate the effects of these algorithms,this dissertation designed separate experiment for every module and collected a lot of video data.These experiments have proved the validity of these algorithms.Last,in this dissertation,a whole moving targets detection and tracking framework is designed,and a moving targets detection and tracking system on ordinary PC was implemented,which is executed successfully.