@article{oai:senshu-u.repo.nii.ac.jp:00011040,
 author = {峯岸, 朋弥 and 吉田, 享子},
 journal = {専修ネットワーク&インフォメーション, Network and Information},
 month = {Mar},
 note = {In the current automobile traffic survey, there are some ways to count, for example, a mechanical counting with a loop coil embedded in the lane and a visual measurement by the investigator, but these ways have problems that introduction and operation costs are high.
In this paper, to solve the problems of the current traffic survey, we developed the prototype system that can detect objects and identify cars, using deep learning image application technology from the video, and evaluated it.},
 pages = {53--58},
 title = {物体検知・識別器による自動車交通量調査システムの試作と評価},
 volume = {28},
 year = {2020}
}