摘要
为提高海水浴场的安全水平,减少溺水事故发生,减轻救生员的工作压力,笔者利用基于深度学习的图像处理实现海岸线分割、游客识别和游客统计功能,并结合“北斗+GPS”双模定位模块、心率等多源传感器采集的信息监测下海游泳游客,利用透视变换以及线性变换实现人与地图位置点的对应,借助信息显示预警功能构建多源信息融合的海水浴场安全监测平台。
In order to improve the safety level of the bathing beach,reduce the occurrence of drowning accidents and reduce the work pressure of lifeguards,the author uses the image processing based on deep learning to realize the functions of coastline segmentation,tourist recognition and tourist statistics,and combines the information collected by the"Beidou+GPS"dual-mode positioning module,heart rate and other multi-source sensors to monitor the underwater swimming tourists,using perspective transformation and linear variation In order to realize the correspondence between people and map location points,a multi-source information fusion safety monitoring platform for bathing beach is built with the help of information display and early warning function.
作者
李雪
奚浩然
王召含
张维凡
姜林奇
Li Xue;Xi Haoran;Wang Zhaohan;Zhang Weifan;Jiang Linqi(School of Computer Science and Engineering,Shandong University of Science and Technology,Qingdao Shandong 266590,China)
出处
《信息与电脑》
2020年第11期79-81,共3页
Information & Computer
关键词
深度学习
图像处理
多源传感器
透视变换
deep learning
image processing
multi-source sensor
perspective transformation
