{"title":"基于LED和全摄像头的轮椅篮球运动员跟踪器的研制","authors":"K. Kojima","doi":"10.1109/ICCE-Taiwan55306.2022.9869198","DOIUrl":null,"url":null,"abstract":"This paper describes the development of a tracker for basketball wheelchair players using special flashing LEDs and an omnidirectional camera. Our previous trackers required some image processing to find multiple LEDs in the video captured by the omnidirectional camera. The problem was that these image processes were time consuming. This study uses convolutional neural networks to reduce the time it takes to find multiple LEDs in that video.","PeriodicalId":164671,"journal":{"name":"2022 IEEE International Conference on Consumer Electronics - Taiwan","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Development of Wheelchair Basketball Player Tracker Using LED and Omni-camera\",\"authors\":\"K. Kojima\",\"doi\":\"10.1109/ICCE-Taiwan55306.2022.9869198\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes the development of a tracker for basketball wheelchair players using special flashing LEDs and an omnidirectional camera. Our previous trackers required some image processing to find multiple LEDs in the video captured by the omnidirectional camera. The problem was that these image processes were time consuming. This study uses convolutional neural networks to reduce the time it takes to find multiple LEDs in that video.\",\"PeriodicalId\":164671,\"journal\":{\"name\":\"2022 IEEE International Conference on Consumer Electronics - Taiwan\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE International Conference on Consumer Electronics - Taiwan\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCE-Taiwan55306.2022.9869198\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Consumer Electronics - Taiwan","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCE-Taiwan55306.2022.9869198","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Development of Wheelchair Basketball Player Tracker Using LED and Omni-camera
This paper describes the development of a tracker for basketball wheelchair players using special flashing LEDs and an omnidirectional camera. Our previous trackers required some image processing to find multiple LEDs in the video captured by the omnidirectional camera. The problem was that these image processes were time consuming. This study uses convolutional neural networks to reduce the time it takes to find multiple LEDs in that video.