Jongmin Yoon, Inhan Kim, WonTaek Chung, Daijin Kim
{"title":"无人机视角下快速准确的汽车检测","authors":"Jongmin Yoon, Inhan Kim, WonTaek Chung, Daijin Kim","doi":"10.1109/ICCE-ASIA.2016.7804775","DOIUrl":null,"url":null,"abstract":"With the development of drones, aerial images are used in a variety of applications. We propose a way to detect cars in drone-view fast and accurately. For this purpose we proposes a feature called G-ORF for effective feature description. Also we designed a pose classifier and bin-specific weighted Linear Discriminant Analysis (wLDA) classifier for pose classification and binary classification of each pose respectively. Our method showed real-time performance in HD (1280×720) video in PC environment with high detection accuracy.","PeriodicalId":229557,"journal":{"name":"2016 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Fast and accurate car detection in drone-view\",\"authors\":\"Jongmin Yoon, Inhan Kim, WonTaek Chung, Daijin Kim\",\"doi\":\"10.1109/ICCE-ASIA.2016.7804775\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the development of drones, aerial images are used in a variety of applications. We propose a way to detect cars in drone-view fast and accurately. For this purpose we proposes a feature called G-ORF for effective feature description. Also we designed a pose classifier and bin-specific weighted Linear Discriminant Analysis (wLDA) classifier for pose classification and binary classification of each pose respectively. Our method showed real-time performance in HD (1280×720) video in PC environment with high detection accuracy.\",\"PeriodicalId\":229557,\"journal\":{\"name\":\"2016 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia)\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCE-ASIA.2016.7804775\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCE-ASIA.2016.7804775","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
With the development of drones, aerial images are used in a variety of applications. We propose a way to detect cars in drone-view fast and accurately. For this purpose we proposes a feature called G-ORF for effective feature description. Also we designed a pose classifier and bin-specific weighted Linear Discriminant Analysis (wLDA) classifier for pose classification and binary classification of each pose respectively. Our method showed real-time performance in HD (1280×720) video in PC environment with high detection accuracy.