Research on camouflage effect evaluation method of moving object based on video

At present, the detection and evaluation method of camouflage effect is mainly aimed at the static target, it cannot objectively reflect the effectiveness of the camouflage effect of the moving target in the operational action. In this paper, the moving object detection technology is combined with the principle of camouflage was comprehensively used. Using Hausdorff distance and color difference minimum principal color similarity vector algorithm to calculate the degree of distortion, target and center background similarity. In order to check the camouflage effect under the condition of moving target, dynamic distortion frame ratio, dynamic similarity frame ratio are proposed based on video stream. In this paper, the experiment is carried out with the step vehicle as the moving object, calculating the deformation degree to achieve the goal of dynamic deformation of 0.4 frame rate ratios were 70.5% and 0% under the two kinds of camouflage methods, The similarity reaches the target frame rate of dynamic similarity ratio of 0.36 were 89.8% and 0%, This shows that the dynamic camouflage effect of the target after digital camouflage painting is better than the target which used green painting. When the target deformation degree and the target and background similarity reaches a value of dynamic deformation of frame frequency ratio and dynamic similarity frame rate ratio are bigger, indicating that the better the dynamic camouflage effect is.