计算机工程与应用2011，Vol.47Issue(11)：187-189,200,4.DOI:10.3778/j.issn.1002-8331.2011.11.053
户外环境下抗遮挡的运动目标跟踪方法
Anti-oeclusion moving object tracking method in outdoor environment.
冯柯 1陈临强1
作者信息
- 1. 杭州电子科技大学图形图像研究所,杭州,310018
- 折叠
摘要
Abstract
In order to overcome the adverse effect,which caused by the inconstant light and climate and occlusion between objects,on object detecting and tracking,a method based on the improved mixture Gaussian model is proposed to detect the moving object, then shadow and noise is removed. While using the method of predict model based on Kalman filter combines with maximum posterior probability for object matching it realizes the moving objects tracking. The experimental resuits indicate that the method can construct a robust real-time object tracking system which can easily handle the occlusion.关键词
视频监控/运动目标跟踪/阴影消除/目标遮挡/Kalman滤波Key words
video surveillance/motion tracking/shadow removing/occlusion/kalman filter分类
信息技术与安全科学引用本文复制引用
冯柯,陈临强..户外环境下抗遮挡的运动目标跟踪方法[J].计算机工程与应用,2011,47(11):187-189,200,4.
