A moving object detection algorithm based on attitude information is proposed to solve the problem of high false alarm rate and low real-time for airborne electro-optic detection equipments for moving object detection in ground background. At first, the suspected target points in images are extracted. And then, the position of suspected target points in images and the attitude information of airborne equipments are used to calculate the position of the target in the inertial navigation coordinate system. According to the change of target position in the inertial navigation coordinate system, the suspected targets are divided into a background target and an alternative target. At last, whether the alternative target is moving or not is determined through calculating the angle relationship change of the alternative target and the background target. The algorithm is verified by the simulation.