Improved Frame Difference Algorithm Based on CNN for Moving Target Detection
作者单位：Nanjing University of Science and TechnologySchool of Electronic and Optical Engineering Nanjing University of Science and TechnologySchool of Computer Engineering Chang'an UniversitySchool of Economics and Management
会议名称：《第三十九届中国控制会议》
会议日期：2020年
学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 082304[工学-载运工具运用工程] 080203[工学-机械设计及理论] 080204[工学-车辆工程] 0835[工学-软件工程] 0802[工学-机械工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 0823[工学-交通运输工程]
关 键 词：Autopilot SIFT Algorithm CNN Panoramic Image Object Contour Extraction
摘 要：In order to improve the shortcomings of frame difference method in moving target detection and improve the accuracy and robustness of moving target detection,an improved frame difference method based on CNN is ***,in order to solve the problem of blind spot in autopilot and improve the safety of autopilot,SIFT algorithm is used to obtain the panoramic image of moving ***,frame difference method is adopted to obtain the foreground image,and then CNN is used to repair the foreground ***,SIFT is used to splicing the restored foreground image to obtain the panoramic image of the foreground *** simulation results show that the proposed algorithm is effective,efficient and accurate in the extraction and repair of moving *** the proposed method,a complete panoramic image of moving targets can be obtained.