Research And Implementation Of Object Detection And Tracking Based On Machine Vision

The detection and tracking of targets is an important part of intelligent transportation,intelligent monitoring and other fields.In particular,pedestrian detection and tracking is of great significance for pedestrian safety and driving safety.The urban traffic environment has three characteristics:driving time background movement;the movement targets are mainly pedestrians and vehicles;complex background environment;This paper studies the above three characteristics.The main research contents of this paper are:first,moving target detection.For static background,background subtraction method,three-frame difference method and optical flow method are mainly introduced,and their respective advantages and disadvantages are analyzed.For dynamic background motion target detection,is one of the core part of this article,the paper puts forward the improved gray projection algorithm,to estimate the background motion,zooming motion parameters,such as,and accurately under the dynamic background of moving object detection;The second one is the humanoid target recognition.Based on the completion of the moving target detection,the humanoid target in the moving target is identified through the shape features of the perimeter,the width and height ratio,and the rectangle degree.Thirdly,moving target tracking is also the core part of this paper.A Meanshift tracking algorithm based on multi-feature and kalman filtering fusion is proposed,which can track multiple targets quickly and effectively.Through experiments,we can prove that the algorithm proposed in this paper can achieve accurate real-time detection and tracking of moving targets in both static and dynamic environments.On the basis of theoretical study,based on intelligent transportation driving security,the design has realized the pedestrian detection tracking system,the motion target for human goals,implementation of pedestrian detection and tracking,and get motion parameters by analyzing the movement information of pedestrian,pedestrian counting and speed two functions.