摘要
视频图像中的运动目标检测是计算机视觉领域的重要研究内容。文章提出了基于背景减法和相邻帧差法相结合的运动目标检测算法和自适应背景更新方法,能够克服光线变化和摄像头的抖动,较为精确地进行多个动目标的判别定位。实验证实本方法的有效性和准确性。
Video of the moving target detection is an important research topic in the field of computer vision. This paper presents an algorithm of moving target detection and a adaptive background updating based on the coalescent of background difference and difference between frames. It improves the algorithm that can conquer the infection of lighting and the displacement of the vidicon, and differentiate a number of disjunct moving targets more accurately. The experiments confirm the validity and accuracy.
出处
《微计算机信息》
北大核心
2008年第10期284-286,共3页
Control & Automation
基金
国家自然科学基金资助项目<运动目标的微多普勒信息提取技术研究>(60672032)
关键词
运动目标检测
背景重构
投影
Moving object detection
Background Reconstruction
Projection
