J. Janousek, J. Novotny, P. Marcon, A. Sirucková, R. Kadlec
{"title":"飞行目标检测算法","authors":"J. Janousek, J. Novotny, P. Marcon, A. Sirucková, R. Kadlec","doi":"10.23919/PIERS.2018.8598196","DOIUrl":null,"url":null,"abstract":"The object detection and recognition are used for location, identification, and categorization of objects in the images and video. We use video record form flying object in our paper. Video record was transformed into individual images that were preprocessed. In the next step, algorithm for capturing a flying object was applied. Afterwards, algorithm for an object recognition was used. This algorithm is based on Oriented FAST (Features from Accelerated Segment Test) and rotated BRIEF (Binary Robust Independent Elementary Features) methods. The procedures were implemented on a small and affordable computer Raspberry PI 3 model B.","PeriodicalId":355217,"journal":{"name":"2018 Progress in Electromagnetics Research Symposium (PIERS-Toyama)","volume":"8 7","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Algorithms for Flying Object Detection\",\"authors\":\"J. Janousek, J. Novotny, P. Marcon, A. Sirucková, R. Kadlec\",\"doi\":\"10.23919/PIERS.2018.8598196\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The object detection and recognition are used for location, identification, and categorization of objects in the images and video. We use video record form flying object in our paper. Video record was transformed into individual images that were preprocessed. In the next step, algorithm for capturing a flying object was applied. Afterwards, algorithm for an object recognition was used. This algorithm is based on Oriented FAST (Features from Accelerated Segment Test) and rotated BRIEF (Binary Robust Independent Elementary Features) methods. The procedures were implemented on a small and affordable computer Raspberry PI 3 model B.\",\"PeriodicalId\":355217,\"journal\":{\"name\":\"2018 Progress in Electromagnetics Research Symposium (PIERS-Toyama)\",\"volume\":\"8 7\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 Progress in Electromagnetics Research Symposium (PIERS-Toyama)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/PIERS.2018.8598196\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Progress in Electromagnetics Research Symposium (PIERS-Toyama)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/PIERS.2018.8598196","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The object detection and recognition are used for location, identification, and categorization of objects in the images and video. We use video record form flying object in our paper. Video record was transformed into individual images that were preprocessed. In the next step, algorithm for capturing a flying object was applied. Afterwards, algorithm for an object recognition was used. This algorithm is based on Oriented FAST (Features from Accelerated Segment Test) and rotated BRIEF (Binary Robust Independent Elementary Features) methods. The procedures were implemented on a small and affordable computer Raspberry PI 3 model B.
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