摘要
针对红外视频图像中运动目标的检测问题,提出了一种以OpenCV为平台,以背景差分法为基础的运动目标检测算法,在传统检测方法基础上进行了改进,使用该算法不需要进行背景初始化,能直接检测运动目标,并有效抑制了虚警。利用OpenCV提供的函数库在Visual Studio 2008平台上编程实现。实验结果表明,该方法具有目标跟踪快、检测概率高、实时性好等特点。
To detect the moving targets in infrared video images,a detecting algorithm based on background subtraction with OpenCV platform is proposed in this paper.The traditional method of moving targets detecting is improved.There is no need to initialize the background.With this algorithm the system could detect the moving targets immediately and reduce the probability of false alarm.The algorithm was realized by OpenCV functions upon Visual Studio 2008 platform.Experimental results illustrate that the proposed algorithm could track the object immediately with high detection probability and showed a good real-time performance.
出处
《信息化研究》
2010年第11期12-16,共5页
INFORMATIZATION RESEARCH
作者简介
孙统义（1986-），男，硕士，主要研究方向为精确制导自动目标识别技术。
