摘要
智能视频监控是模式识别和计算机视觉领域的主要内容之一,其研究的主要热点是监控目标的定位跟踪。为对其进行有效、准确地定位跟踪,分析研究了在卡尔曼滤波器跟踪算法的基础上,采用该算法的预估运动目标参数,并建立运动目标在下一帧的预测信息。通过Matlab仿真以及现场测试,验证了该算法在视频监控系统中处理问题的有效性和可靠性。
Intelligent video surveillance is one of the important content of pattern recognition and computer vision, which research focus is moving target tracking technology. In order to track moving targets accurately and efficiently, tracking algorithm is analyzed in this paper, and then, the forecast information in the next frame is established by Kalman filter. The algorithm is verified to deal with the problem reliably in video surveillance system by Matlab simulation and field test.
出处
《煤矿机电》
2016年第2期41-43,共3页
Colliery Mechanical & Electrical Technology
基金
国家"863"计划基金项目(2013AA06A408)
科技部科研院所技术开发专项基金项目(2013EG122193)
关键词
智能视频监控
目标跟踪
卡尔曼滤波器
. intelligent video surveillance
target tracking
Kalman filter
