Design Of Moving Object Tracking System Based On FPGA

Anti UAV intrusion is the research hotspot of low altitude defense.The accuracy and automation of traditional anti UAV platform is low.The introduction of real-time moving target detection and tracking system into the traditional rocket launching platform can greatly improve the automation of the rocket launching platform,as well as the real-time and accuracy.Real time moving target detection and tracking technology can be used not only in the military field,but also in the civil field.The main task of this paper is to design and implement a real-time moving target detection and tracking system,which can detect and track moving targets such as UAVs in the air.The implementation platform of the system designed in this paper is FPGA(field programmable gate array).The advantages of FPGA chip are rich logic resources,parallel processing,reprogramming and so on.These advantages make it very suitable for real-time video graphics Image processing platform.First of all,this paper introduces the research background and significance of the subject,introduces the principle of the traditional target detection and tracking algorithm,summarizes the research status of the target detection and tracking platform at home and abroad,analyzes and compares the target detection algorithm and target tracking algorithm at home and abroad,points out the advantages and disadvantages of the traditional algorithm,combined with the application background of this system,makes a further research Finally,the basic detection algorithm and tracking algorithm of the system are determined.Secondly,this paper proposes a new moving target detection algorithm.The new background subtraction method based on wavelet de-noising has strong ability of moving target detection,and can better distinguish the background and foreground.Especially when the UAV target volume is small,the distance from the camera is far,and the pixels are less,the experimental results show that the advantage of the algorithm is more obvious.Then,this paper proposes a new moving target tracking algorithm.The new sad matching algorithm based on MCD distance has strong tracking ability.The advantage of this algorithm is that it can update the template adaptively and greatly reduce the tracking error rate.Especially when the UAV attitude changes greatly,compared with the traditional algorithm,this algorithm has a higher tracking success rate.The experimental results show that the algorithm has obvious advantages.Finally,each hardware module is designed,the algorithm is transplanted to the hardware platform,and experiments are designed to verify the functional completeness of the system.In the experiments of medium distance and long distance,the system shows good performance of moving target detection and tracking,especially in the case of long distance,the tracking success rate of the system is higher than that of the traditional algorithm simulation results.In order to meet the real-time requirements of application scenarios,the average number of working frames of the system is more than 25.