摘要
运动物体的跟踪是现代科学技术里的重要一环,在众多领域都有着广泛的应用,比如说雷达检测跟踪系统。运动目标的跟踪分为预测和匹配两方面,其中预测尤为重要。文中运用向量卡尔曼滤波的方法对在5W红外LED光源照射下的人体的运动进行实时跟踪预测,为后续匹配工作提供高准确率的保障。在实验室模拟环境下进行实验,实验结果表明预测的误差能够控制在10个像素点以内。在对公交车客流视频进行处理后,有非常高的准确率,实时性也很好。
The track of moving object is a very important part of modern science and technology. It is widely used in many fields, such as tracking system of radar targets. The track of moving target is divided into two parts, forecasting and matching, especially, forecasting is the key point of it. In this passage, we use Kalman filtering to take the real time detection of the bus passenger＇s flow so that it will insure high accuracy rate of the match counting in the 5 W LED irradiation. Testing in the lab as simulated environment, the result shows the forecasting error can be reduced into 10 pixels. It has high accuracy rate and it also improves real-timing after filtering the video stream of the bus passengers.
出处
《光学仪器》
2010年第3期36-40,共5页
Optical Instruments
关键词
卡尔曼滤波
卡尔曼预测
客流量统计
Kalman filtering
Kalman predetermination
passenger flow counting
