CAJ | 학술논문

各类飞行器、机动车的模拟驾驶环境的建立，需要从视频影像中进行运动目标检测并且提取出图像运动坐标系下的对应运动参数。由于在凝视拍摄过程中，摄像机以运动目标为视场中心追随运动目标，此时的运动影像可以看作是具有全局运动特征的图像。从驾驶环境模拟的角度提取视频影像中主体目标的运动特征和参数，提出了基于小波分解的块平均匹配方法，提高了参数提取的准确性和处理速度。仿真实验验证了算法的有效性。
각류비행기、궤동차적모의가사배경적건립，수요종시빈영상중진행운동목표검측병차제취출도상운동좌표계하적대응운동삼수。유우재응시박섭과정중，섭상궤이운동목표위시장중심추수운동목표，차시적운동영상가이간작시구유전국운동특정적도상。종가사배경모의적각도제취시빈영상중주체목표적운동특정화삼수，제출료기우소파분해적괴평균필배방법，제고료삼수제취적준학성화처리속도。방진실험험증료산법적유효성。
It is necessary to detect objects and extract the motion parameters in video for the establishment of virtual driving envi-ronment of various aircrafts and vehicles.Since the camera follows the moving object as the view field center during the imaging process of moving objects in battlefield,the battlefield video image can be considered as an image with a global motion feature.Motion character-istics and parameters are extracted from the viewpoint of battlefield environment simulation,and a method based on wavelet hierarchical block matching is presented.The accuracy of parameter extraction and the processing speed are improved.The simulation results show that the algorithm is efficient.