基于帧间差分和光流法的红外图像运动检测

摘要

In order to detect the motive target in the complex infrared image sequences obtained by IR detector under different work states, a motion detection combination algorithm was proposed using image subtraction and Lucas Kanade optical flow method. According to the work states of IR detector, the relative motion relationship was established between the IR detector and the target. Image difference method and Lucas Kanada optical flow method were a-dopted respectively to detect the target motion, when the IR detector was still or motive. The emulation and analysis were carried out for the infrared image sequences obtained by IR detectors. The experimental results confirm that the motive target can be detected effectively through the analysis of the IR detector work states and the intelligent transform of motion detection algorithms.%在红外图像运动目标检测的研究中,针对IR探测器在不同的工作状态下所获取的复杂红外图像序列,为了从中有效地检测出中的运动目标,提出了一种用帧间差分和Lucas Kanade光流法的运动检测组合算法.在分析IR探测器工作状态的基础上,建立了IR探测器与目标的相对运动关系.对IR探测器在静止和运动时分别采用帧间差分法和Lucas Kanade光流法进行运动检测.对实地拍摄的红外图像序列进行仿真分析,实验结果表明通过对IR探测器工作状态的分析,智能地转换运动检测算法,可实现对目标的准确有效地检测.