摘要
研究了卡尔曼滤波在图像数字传感系统(IDSS)中的应用,设计了基于随机噪声下匀速运动的卡尔曼滤波算法和基于延时的卡尔曼滤波算法。仿真结果表明,IDSS跟踪误差减小,当跟踪目标从视场消失时,控制系统按照预测的目标信息跟踪。
The application of Kalman filter in Image Digital Sensor System （IDSS） is researched Kalman filtering al-gorithm is designed.The target model is based on linear constant velocity and a random acceleration noise.The simu-lation results show that IDSS tracking errors are reduced and tracking control system can also track the target according to the predicting information when target is lost.
出处
《长春理工大学学报（自然科学版）》
2013年第5期120-122,126,共4页
Journal of Changchun University of Science and Technology(Natural Science Edition)
关键词
卡尔曼滤波
算法
目标跟踪
kalman filter
algorithm
target tracking
