摘要
在基于视觉的交通监控系统中,场景图像的分割即背景与前景目标的分割是车辆检测中的第一步,在整个处理中占有很重要的地位,它的准确性直接关系到后继工作的难易程度,甚至整个系统的成败.该文提出一种自适应背景更新算法,此算法能更简单、更鲁棒地实现分割.
In visionbased traffic monitoring system, segmentation of background and objects is the first step in vehicle detection. Its accuracy directly affects the complexity of the subsequent processes, and even determines the effectiveness of the whole system. This paper presents an algorithm of selfadaptive background update for traffic images in visionbased monitoring systems. The algorithm provides a simple and robust solution to the segmentation problem.
出处
《上海大学学报(自然科学版)》
CAS
CSCD
2003年第5期420-422,共3页
Journal of Shanghai University:Natural Science Edition
关键词
交通监控
图像分割
背景更新
traffic monitoring
image segmentation
background update