中国计量大学学报2017，Vol.28Issue(3)：326-333,8.DOI:10.3969/j.issn.2096-2835.2017.03.010
深度学习的汽车驾驶员安全带检测
Safety belt detection based on deep learning
摘要
Abstract
With the development of intelligent traffic systems (ITS) ,the detection of drivers' safety belts attracted a lot of attention .In this paper ,we studied a safety belt detection algorithm based on deep learning , which could help accurately identify whether or not the driver wore the safety belt .The method could locate and classify the safetey belt by using deep learning to train the two detectors and a classifier .The method has a better detection effect on traffic monitoring images collected in urban roads .关键词
安全带检测/目标检测/深度学习/图像分类/智能交通Key words
safety belt detection/object detection/deep learning/image classification/ITS分类
信息技术与安全科学引用本文复制引用
杨凯杰,章东平,杨力..深度学习的汽车驾驶员安全带检测[J].中国计量大学学报,2017,28(3):326-333,8.基金项目
浙江省自然科学基金资助项目(No.LY15F020021),浙江省科技厅公益性项目(No.2016C31079). （No.LY15F020021）
