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机构地区:[1]河南科技大学电气工程学院,河南洛阳471023
出 处:《合肥工业大学学报(自然科学版)》2014年第5期572-577,共6页Journal of Hefei University of Technology:Natural Science
基 金:国家自然科学基金资助项目(60904023);河南科技大学人才支持计划资助项目(09001139);河南科技大学自然科学基金资助项目(2007ZY056)
摘 要:文章提出一种基于背景减除法与三帧差分法相融合运动目标检测的方法,该算法运用改进的时间平均算法初始化背景,在有目标情况下也能构建出可靠的背景;用背景减除法得到目标运动区域,并根据像素的连通区域除噪声;通过背景减除法与三帧间差分的检测结果进行"与"运算,得到的结果作为反馈对背景模型进行更新;利用色度信息消除阴影,得到较精确的运动目标。实验结果表明,该算法能够快速、完整、准确地检测出运动目标,满足实时检测的需要。A detection algorithm of moving objection based on background subtraction and three-frame differencing is presented in this paper.The algorithm uses the improved time-averaged method to initialize background,and can obtain reliable background in the condition of having moving object.The moving object region is gained by using the background subtraction,and the noise is suppressed according to the relationship between the pixel and its adjacent pixels.The"and"operation is done according to the detection results of the background subtraction and the three-frame differencing,and the results obtained are used as feedback to update background.Finally,the chromatic difference is employed to eliminate shadows and make the moving object region more accurate.The simulation results show that the presented algorithm can detect the moving object quickly,completely and accurately,and is suitable for real-time detection.
分 类 号:TP391.4[自动化与计算机技术—计算机应用技术]
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