Design Of Object Detection And Tracking System Based On Optical Flow Method And MHI

In recent years,with the rapid development of electronic technology,digital video processing has become a hot research topic in the field of computer vision.Moving object detection and tracking technology is an important research subject in video processing,and it is also the basic technology in the field of computer vision and artificial intelligence.However,it is still a challenging task to be able to track the target in a complex environment accurately,rapidly as well as stably.This paper mainly introduced several commonly used tracking algorithms,such as Kalman Filtering algorithm,Particle Filter algorithm,CAMSHIFT algorithm,Background Subtraction algorithm,Optical Flow method.The work summarizes the characteristics of each tracking algorithms and points out the application scenarios of each tracking method.According to the characteristics of the students in the teaching environment,the related algorithms have been studied deeply,and the whole process flow of the intelligent tracking system is designed.Through the analysis of the performance of the various algorithms and the comparison of the advantages and disadvantages of these methods,the optical flow method is chosen as the main algorithm of the tracking system for the students tracking part.And due to the optical flow’ large computational problem and the poor real-time effect problem,we combined the inter frame difference method with the optical flow method,which improve the efficiency of the algorithm,at the same time,due to the multi object tracking problem,we presents a method combining optical flow method and K-means clustering algorithm.The experimental results show that it can achieve good results.The hardware environment for the system is Hisilicon Hi3531 A,which contains the intelligent video engine(IVE),the complexity of the realization of the intelligent analysis is reduced,and the space for the user to play freely is left.The rapid development and transplantation for intelligent algorithms based on PC environment,which is better than DSP and FPGA’ development environment.