光学学报, 2021, 41 (1): 0106002, 网络出版: 2021-02-23
光电信息事件识别感知关键技术研究进展 下载: 1584次特邀综述
Research Progress of Key Technologies in Recognition Sensing for Opto-Electronic Information and Event
光纤光学 分布式光纤传感 视频监控 事件识别 多参量感知 fiber optics distributed optical fiber sensing video monitoring event recognition multi parameter perception
摘要
目前随着公共安全领域非法入侵事件的数量急剧增加,迫切需要新型传感技术来侦测非法入侵事件。针对精确定位、准确识别、多参量融合等瓶颈问题,天津大学、天地伟业技术有限公司等研究机构提出了光电信息事件识别感知关键技术,其紧密融合了视频监控和分布式光纤传感两种技术的优势,通过光时域与光频域分布式扰动定位技术、干涉信号模式识别技术、超星光图像识别技术、视频捕捉分析识别技术、多参量感知融合技术、主动式偏振跟踪感知技术等,实现了重点区域内异常事件的全天候、全覆盖监控识别。重点介绍了光电信息事件识别感知的关键技术研究进展。
Abstract
At present, the number of illegal intrusion incidents in the field of public security is increasing rapidly, so new sensing technologies are urgently needed to detect illegal intrusion events. Aiming at the bottleneck problems of accurate positioning, accurate identification, and multi parameter fusion, Tianjin University, Tiandy Technologies Co., Ltd., and other research institutions have proposed the key technology for event recognition and perception of photoelectric information. It closely integrates the advantages of video monitoring and distributed optical fiber sensing technology. This technology has realized all-weather and full coverage monitoring and recognition of abnormal events in key areas through the optical time and frequency domain distributed disturbance positioning technology, interference signal pattern recognition technology, superstar optical image recognition technology, video capture analysis and recognition technology, multi parameter sensing perception and fusion technology, active polarization tracking and sensing technology, etc. This paper focuses on the research progress of key technologies of event recognition and perception in photoelectric information events.
刘铁根, 刘琨, 戴林, 江俊峰, 王健, 丁振扬, 桑梅, 胡浩丰, 王双, 薛超, 王景彬, 邓晔. 光电信息事件识别感知关键技术研究进展[J]. 光学学报, 2021, 41(1): 0106002. Tiegen Liu, Kun Liu, Lin Dai, Junfeng Jiang, Jian Wang, Zhenyang Ding, Mei Sang, Haofeng Hu, Shuang Wang, Chao Xue, Jingbin Wang, Ye Deng. Research Progress of Key Technologies in Recognition Sensing for Opto-Electronic Information and Event[J]. Acta Optica Sinica, 2021, 41(1): 0106002.