摘要
Abstract
Object tracking is an important research direction in video processing.Aiming at the shortcomings of traditional methods,such as poor robustness and large tracking error,a moving target tracking method based on Gauss mixture model is designed.Firstly,the current research status of moving target tracking is analyzed,and the reasons of large tracking error and poor robustness are found,and then tmixed Gauss model is used to detect the moving object in the video,and moving object is extracted,finally,Kalman filter is used to track the moving track of the target.Its performance is tested by the specific target tracking experiment.The results show that the proposed method can track the moving target accurately,and can be adapted to the complex change of the target background,good robustness,speed up efficiency of target tracking,tracking results are very stable.关键词
视频图像/移动目标/目标检测/卡尔曼滤波/高斯混合模型Key words
Video image/moving target/target detection/Kalman filter/Gauss mixture model分类
信息技术与安全科学
