摘要
相对于传统的模式识别技术,基于深度学习的高速公路视频事件检测系统,借助路段监控不断完善的数字高清监控设备,通过人工智能及大数据等技术整合高速公路现有各类数据资源,在识别准确率、效率以及性能上有极大的突破,实现了对高速公路道路交通事件全面、自动、精准的识别感知和告警预警处理。
Compared with the traditional pattern recognition technology,the highway video event detection system based on deep learning,with the help of the digital high-definition monitoring equipment of continuous improvement of road section monitoring,integrates all kinds of existing data resources of highway through artificial intelligence and big data,and has a great breakthrough in identifying accuracy,efficiency and performance.It realizes the comprehensive,automatic and accurate recognition,perception and warning of highway traffic events.
作者
杨常华
Yang Changhua(Shanxi Information Industry Technology Research Institute Co., Ltd., Taiyuan Shanxi 030012, China)
出处
《山西电子技术》
2020年第2期13-14,86,共3页
Shanxi Electronic Technology
关键词
深度学习
精准感知
视频事件检测
deep learning
precise perception
video event detection