摘要
该文在研究多种运动目标轮廓检测算法的基础上,提出了一种新的复杂背景下基于连续3帧即可精确检测多运动目标轮廓的算法。分析和实验表明,该算法抗干扰能力强,可以有效地消除被运动目标遮挡和重现的纹理背景,对复杂背景及不重叠多目标运动情况,可以精确地定位各个运动目标的外轮廓。此外,该算法具有潜在的并行机制,易于实现实时运动图像处理。
On the basis of studying some recent motion contours detection algorithms, a new approach to extract contours of moving objects from three consecutive image frames with complex background is suggested in this paper. Several experiments show that the algorithm is robust in noisy environment, effective to reduce the effect of objects shadow and occluding, and efficient for moving objects contours detection among image sequence with complex background.
出处
《电子与信息学报》
EI
CSCD
北大核心
2005年第2期306-309,共4页
Journal of Electronics & Information Technology
基金
国家自然科学基金(60172004)北京大学视觉与听觉信息处理国家重点实验室基金(2001-03)博士点基金(20010701003)资助课题
关键词
运动目标
动态轮廓
轮廓检测
Moving objects, Active contour, Contour extraction
