多传感器信息融合技术在智能视频监控中的应用研究  

Application Research of Multi-Sensor Information Fusion Technology Based on Intelligent Video Monitoring System

作　　者：何昊生 闫姝 HE Haosheng;YAN Shu(Electric&Electronic Engineering School,Lanzhou Petrochemical University of Vocational Technology,Lanzhou 730060,China)

机构地区：[1]兰州石化职业技术大学电子电气工程学院,甘肃兰州730060

出　　处：《兰州石化职业技术学院学报》2022年第4期18-21,共4页Journal of Lanzhou Petrochemical Polytechnic

基　　金：甘肃省大学生创新创业训练计划项目(S202010838019)。

摘　　要：针对智能视频监控会受天气、遮挡、光线等问题的影响,从而导致漏报和误报的情况产生这一问题,提出了将多传感器系统和视频监控系统相结合的结构模型,并采用实时性较高的卡尔曼滤波算法对传感网络中的数据进行数据融合。仿真实验表明,该算法易于实现,可提高数据准确度和可靠性,最终达到对可疑行为进行及时的预警和报警的目的。Aiming at the problem that intelligent video surveillance will be affected by weather,occlusion,light and other problems,resulting in missed and false alarms,a structural model of combining multi-sensor system with video surveillance system is proposed,at the same time,the Kalman filter algorithm with high real-time performance is used to fuse the data in the sensor network.Simulation results show that the algorithm is easy to implement,and can improve the accuracy and reliability of data as well as achieve the purpose of timely warning and alarm for suspicious behavior.

关 键 词：智能视频监控 多传感器 信息融合 卡尔曼滤波 

分 类 号：TN948.43[电子电信—信号与信息处理]