计算机工程与应用2018，Vol.54Issue(13)：11-18,33,9.DOI:10.3778/j.issn.1002-8331.1804-0167
目标检测算法研究综述
Research overview of object detection methods
摘要
Abstract
Object detection is an important problem in computer vision, which has critical research value in the field of pedestrian tracking, license plate recognition and unmanned driving. In recent years, the accuracy of image classification is greatly improved with deep learning, thus the object detection methods based on deep learning have gradually become mainstream. The development and present situation of object detection methods are reviewed, and a prospect is made. Firstly, the development, improvement and deficiency of the traditional algorithms and depth learning-based algorithms are summarized, and then compared. Finally, the difficulties and challenges of the object detection method based on deep learning are discussed, and the possible development direction is prospected.关键词
目标检测/深度学习/计算机视觉/卷积神经网络/目标分类检测Key words
object detection/deep learning/computer vision/convolutional neural networks/object classification detection分类
信息技术与安全科学引用本文复制引用
方路平,何杭江,周国民..目标检测算法研究综述[J].计算机工程与应用,2018,54(13):11-18,33,9.基金项目
国家自然科学基金(No.U1509219,No.81771481). （No.U1509219,No.81771481）
