基于帧差和Otsu的红外行人分割算法

针对红外图像中行人与环境对比度较低，直接进行分割易产生误分割问题，提出一种基于帧差和Otsu的红外行人分割算法.首先选取红外视频序列中时间间隔较短的2帧图像求其帧差图像，对帧差图像采用Otsu分割得到运动目标的部分区域；然后对基准帧也采用Otsu方法分割，并将帧差图像分割结果与基准帧分割结果相乘，得到目标区域的种子像素；最后在基准帧分割图像上，通过连通性判断得到最终的行人分割区域.实验结果表明，该算法很好地克服了环境带来的干扰，鲁棒性强，能有效实现红外行人目标的分割.

Pedestrian Segmentation Algorithm in Infrared Images Based on Frame Difference and Otsu

The contrast between pedestrians and environment is low in infrared images,which will result in the problem of faulty segmentation.This paper puts forward a pedestrian segmentation algorithm in infrared images based on frame difference and Otsu.Firstly,two frames with a short time interval of an infrared video sequence are used to obtain a frame difference image,and Otsu method is applied to get some moving target regions in the frame difference image.Then,the reference frame is also segmented by Otsu method,and the seed pixels of target regions can be gained by multiplying the result of the frame difference image segmentation with the result of the reference frame segmentation.Finally,according to region connectivity of the segmentation image of the reference frame,pedestrian areas are determined.Experimental results show that the proposed algorithm can overcome the interference of the environment,has strong robustness,and can effectively realize pedestrian segmentation in the infrared image.