运动目标检测系统算法Simulink仿真

Simulink Simulation of Moving Object Detection System Algorithm

随着计算机技术的不断发展和进步,计算机视觉理论及算法的研究也飞速前进,视觉系统虽然既能感知静止物体又能感知运动物体,但在多数情况下,人们一般只关注运动的目标。如今,不论是在军用还是民用领域,运动目标检测技术已经被越来越多的科学工作者高度关注。基于此,对运动目标检测系统进行了Simulink算法仿真,设计了运动目标检测仿真系统的总体框架,分析研究了系统的处理流程,将获取的视频源转化为灰度模式,对其进行光流法处理,进行流速阈值判别,并采用中值滤波与区域滤波器进行滤波,进行Blob分析,对图像数据进行恢复并显示出来。给出了运动目标检测的整体仿真结果。仿真结果表明,系统能够正确检测到运动目标,而且仿真效果较好,验证了系统设计的正确性。

With the continuous development and progress of computer technology,the research on computer vision theory and algorithm is also advancing rapidly.Although the vision system can perceive both stationary objects and moving objects,in most cases,people only focus on moving objects.Nowadays,whether in military or civilian fields,moving target detection technology has been paid more and more attention by scientific workers.Based on this,the Simulink algorithm simulation of moving target detection system is carried out,and the overall framework of the simulation system is designed,the processing flow of the system is analyzed.After the obtained video source is converted into grayscale mode,it is processed by optical flow method,and the velocity threshold would be judged.Then filtering of the video image by median filter and area filter is completed.Ultimately,the image data is recovered and displayed after Blob analysis,and the entire simulation results of the moving targets are obtained.The simulation results show that the system can correctly detect the moving target,and the simulation effect is good,which verifies the correctness of the system design.