现代电子技术2017，Vol.40Issue(21)：69-72,4.DOI:10.16652/j.issn.1004-373x.2017.21.019
基于改进高斯混合模型的运动目标检测与跟踪
Moving target detection and tracking based on improved Gaussian mixture model
郅季炘1
作者信息
- 1. 郑州大学 体育学院,河南 郑州 450044
- 折叠
摘要
Abstract
In order to improve the accuracy and reliability of moving object detection and tracking,a moving object detec-tion and tracking method based on improved Gaussian mixture model is proposed. The improved Gaussian mixture background model is established to segment the moving target image into blocks. The continuity of the neighborhood frames is utilized to up-date the parameters of the moving target image,and then the whole moving target is extracted for segmentation. The given pixel of current frame is matched with the target image to reduce the distribution quantity and calculated amount of the Gaussian mix-ture model. According to the size,shape and color information of the moving target after block processing,the global matching for moving target is conducted to realize the real-time detection and tracking of moving object. The experimental results show that,in comparison with the current moving target detection and tracking methods based on Gaussian mixture model,the pro-posed method has simpler calculation process,faster detection speed,and more reliable detection results.关键词
运动目标检测/全局匹配/改进高斯混合模型/分块处理Key words
moving target detection/global matching/improved Gaussian mixture model/block processing分类
信息技术与安全科学引用本文复制引用
郅季炘..基于改进高斯混合模型的运动目标检测与跟踪[J].现代电子技术,2017,40(21):69-72,4.
