基于Kalman预测的人体运动目标跟踪  

Moving Human Target Tracking Based on Kalman Prediction

作　　者：曲云腾[1] 李平康[1] 杜秀霞[1] 

机构地区：[1]北京交通大学机械与电子控制工程学院,北京100044

出　　处：《计算机系统应用》2011年第1期137-140,共4页Computer Systems & Applications

摘　　要：在基于视觉图像的人体运动目标智能监控中,为了实现快速实时跟踪,使目标跟踪更为准确,利用Kalman方程的递推预估计能力,采用基于Kalman预测的目标跟踪方法,进行二维空间的运动仿真研究和室内环境下的实验测试分析。理论分析与实验结果都表明,该方法对目标的运动趋势和方向能够做出正确的预测估计,有效地提高目标跟踪的实时性,为后续的图像处理和分析提供了保证。In the process of detecting and tracking moving human target based on visual images, in order to implement fast real-time tracking and make tracking more accurately, Tracking based on Kalman prediction is used according to Kalman filter＇s recursion capacity to estimate the target location of the next time. Simulation analysis in 2-D space and indoor experiment are done. Both the simulation analysis and test result confirm that the tracking speed and accuracy has been improved effectively base on Kalman prediction which offers guarantee for the following image processing and analysis.

关 键 词：人体目标跟踪 云台控制 图像处理 KALMAN预测 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]