海军航空工程学院学报2012，Vol.27Issue(1)：15-18,4.
一种基于背景自适应的运动目标检测与跟踪算法
A Moving Object Detection and Tracking Method Based on Adaptive Background Image
摘要
Abstract
The method based on background image difference is commonly used for real-time detection of moving object. However, no reasonable method has been designed for automatic background updating along with the illumination variance, which limits its applications. To overcome the problem, a new self-adaptive background updating algorithm was first presented in this paper, and then self-adaptive threshold segmentation of moving objects was implemented using the Otsu method, and moving objects were detected by the binary connected component analysis using the morphological method, and Katman filtering was used for objects tracking. Experimental results demonstrated that the proposed method could detect and track moving objects exactly and quickly along with the variance of illumination.关键词
背景差分/运动目标检测/自适应背景更新/Kalman滤波Key words
background difference/moving objects detection/adaptive background update/Kalman filtering分类
信息技术与安全科学引用本文复制引用
刘皞,赵峰民,陈望达..一种基于背景自适应的运动目标检测与跟踪算法[J].海军航空工程学院学报,2012,27(1):15-18,4.基金项目
总装装备预研基金资助项目 （）
