计算机工程与应用2019，Vol.55Issue(24)：20-28,9.DOI:10.3778/j.issn.1002-8331.1908-0408
计算机视觉下的车辆目标检测算法综述
Survey of Vehicle Object Detection Algorithm in Computer Vision
李明熹 1林正奎 1曲毅1
作者信息
- 1. 大连海事大学 信息科学技术学院,辽宁 大连 116026
- 折叠
摘要
Abstract
Vehicle object detection based on computer vision is an important application field. In recent years, with the great progress of deep learning in image classification, vehicle object detection algorithm combining machine vision tech-nology with deep learning method has gradually become the research priority and hotspot in this field. This paper introduces the tasks, difficulties and current development status of vehicle detection based on machine vision technology. Several rep-resentative convolutional neural network in deep learning is also introduced, as well as two-stage and one-stage object detection algorithms derived from these networks. In the next place, it is followed by vehicle detection and the relevant data sets and evaluation criteria for the detection results. The existing problems and future development direction are finally discussed.关键词
深度学习/计算机视觉/车辆检测/目标检测算法Key words
deep learning/computer vision/vehicle detection/object detection algorithm分类
信息技术与安全科学引用本文复制引用
李明熹,林正奎,曲毅..计算机视觉下的车辆目标检测算法综述[J].计算机工程与应用,2019,55(24):20-28,9.
