{"title":"Review of Target Detection Algorithms","authors":"Xu Zhou, Guojun Lin","doi":"10.54097/fcis.v4i3.10736","DOIUrl":null,"url":null,"abstract":"Object detection is a popular direction of computer vision and digital image processing, which is widely used in robot navigation, intelligent video surveillance, industrial detection, aerospace and other fields, using computer vision to reduce human capital consumption has important practical significance. Because of the wide application of deep learning, the algorithm of target detection has been developed rapidly. This paper mainly introduces the traditional target detection algorithm and two kinds of target detection algorithm based on depth learning and the data set commonly used in target detection.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Computing and Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54097/fcis.v4i3.10736","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Object detection is a popular direction of computer vision and digital image processing, which is widely used in robot navigation, intelligent video surveillance, industrial detection, aerospace and other fields, using computer vision to reduce human capital consumption has important practical significance. Because of the wide application of deep learning, the algorithm of target detection has been developed rapidly. This paper mainly introduces the traditional target detection algorithm and two kinds of target detection algorithm based on depth learning and the data set commonly used in target detection.