近年来随着移动互联网技术的发展和运用日益成熟,移动智能终端普及率的快速增长,国家气象信息中心一、二线值班运维的智能化、移动化势在必行。主要讨论如何通过开发一款将移动互联技术与传统 IT 运维服务相结合的值班运维APP,利用其移...近年来随着移动互联网技术的发展和运用日益成熟,移动智能终端普及率的快速增长,国家气象信息中心一、二线值班运维的智能化、移动化势在必行。主要讨论如何通过开发一款将移动互联技术与传统 IT 运维服务相结合的值班运维APP,利用其移动化和智能化的运维手段服务于一线值班人员和二线运维人员,从而提升一、二线的运维质量和工作效率。展开更多
Cameras can reliably detect human motions in a normal environment, but they are usually affected by sudden illumination changes and complex conditions, which are the major obstacles to the reliability and robustness o...Cameras can reliably detect human motions in a normal environment, but they are usually affected by sudden illumination changes and complex conditions, which are the major obstacles to the reliability and robustness of the system. To solve this problem, a novel integration method was proposed to combine hi-static ultra-wideband radar and cameras. In this recognition system, two cameras are used to localize the object＇s region, regions while a radar is used to obtain its 3D motion models on a mobile robot. The recognition results can be matched in the 3D motion library in order to recognize its motions. To confirm the effectiveness of the proposed method, the experimental results of recognition using vision sensors and those of recognition using the integration method were compared in different environments. Higher correct-recognition rate is achieved in the experiment.展开更多
文摘近年来随着移动互联网技术的发展和运用日益成熟,移动智能终端普及率的快速增长,国家气象信息中心一、二线值班运维的智能化、移动化势在必行。主要讨论如何通过开发一款将移动互联技术与传统 IT 运维服务相结合的值班运维APP,利用其移动化和智能化的运维手段服务于一线值班人员和二线运维人员,从而提升一、二线的运维质量和工作效率。
基金Supported by National Natural Science Foundation of China(No.50875193)
文摘Cameras can reliably detect human motions in a normal environment, but they are usually affected by sudden illumination changes and complex conditions, which are the major obstacles to the reliability and robustness of the system. To solve this problem, a novel integration method was proposed to combine hi-static ultra-wideband radar and cameras. In this recognition system, two cameras are used to localize the object＇s region, regions while a radar is used to obtain its 3D motion models on a mobile robot. The recognition results can be matched in the 3D motion library in order to recognize its motions. To confirm the effectiveness of the proposed method, the experimental results of recognition using vision sensors and those of recognition using the integration method were compared in different environments. Higher correct-recognition rate is achieved in the experiment.
