摘要
采用一种基于霍夫变换的直线检测方法用于有轨电车前方铁轨的检测,通过调整累加器阈值滤除较短的人行横道线与侧方铁轨实现铁轨检测.将检测出的直线与基于深度学习的Faster-RCNN算法相结合,通过比较目标行人坐标与铁轨所在直线坐标实现行人入侵检测方法,该方法对于铁轨行人入侵检测有较好的效果.
A line detection method based on Hough transform is used for the detection of the rails in front of the tram,and the rail detection is realized by adjusting the accumulator threshold to filter out the shorter crosswalk lines and the side rails.Finally,the object detection method combines the detected line with the Faster-RCNN algorithm to achieve pedestrian intrusion detection by comparing the target pedestrian coordinates with the linear coordinates of the rail.This method has a good effect on rail pedestrian intrusion detection.
作者
张丽艳
韩熠
赵艺璇
刘健
ZHANG Liyan;HAN Yi;ZHAO Yixuan;LIU Jian(School of Electrical Information Engineering,Dalian Jiaotong University,Dalian 116028,China)
出处
《大连交通大学学报》
CAS
2020年第2期100-103,共4页
Journal of Dalian Jiaotong University
基金
国家自然科学基金资助项目(51475065)。
