L. Vokorokos, Michal Hulic, Martin Stancel, Martin Knut
{"title":"物体检测器中的颜色感知","authors":"L. Vokorokos, Michal Hulic, Martin Stancel, Martin Knut","doi":"10.1109/ICETA51985.2020.9379256","DOIUrl":null,"url":null,"abstract":"Detecting objects in computer vision have become very popular these days, especially in self-driving vehicles and autonomous cars. We are proposing a method to enhance this experience by detecting colors, which could also lead in the color perception by robotic systems in the future. First, there are technologies used described in the first section of the paper and then the algorithm itself is introduced with several conducted experiments.","PeriodicalId":149716,"journal":{"name":"2020 18th International Conference on Emerging eLearning Technologies and Applications (ICETA)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Colors Perception in Object Detectors\",\"authors\":\"L. Vokorokos, Michal Hulic, Martin Stancel, Martin Knut\",\"doi\":\"10.1109/ICETA51985.2020.9379256\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Detecting objects in computer vision have become very popular these days, especially in self-driving vehicles and autonomous cars. We are proposing a method to enhance this experience by detecting colors, which could also lead in the color perception by robotic systems in the future. First, there are technologies used described in the first section of the paper and then the algorithm itself is introduced with several conducted experiments.\",\"PeriodicalId\":149716,\"journal\":{\"name\":\"2020 18th International Conference on Emerging eLearning Technologies and Applications (ICETA)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-11-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 18th International Conference on Emerging eLearning Technologies and Applications (ICETA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICETA51985.2020.9379256\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 18th International Conference on Emerging eLearning Technologies and Applications (ICETA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICETA51985.2020.9379256","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Detecting objects in computer vision have become very popular these days, especially in self-driving vehicles and autonomous cars. We are proposing a method to enhance this experience by detecting colors, which could also lead in the color perception by robotic systems in the future. First, there are technologies used described in the first section of the paper and then the algorithm itself is introduced with several conducted experiments.
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