{"title":"改进的KCF跟踪方法在嵌入式硬件平台上的实现","authors":"A. Varfolomieiev, O. Lysenko","doi":"10.1109/UKRMICO.2016.7739644","DOIUrl":null,"url":null,"abstract":"This paper presents an improved kernelized correlation filters method for implementation on embedded hardware platforms. A software realization of the improved tracking method is developed and tested. The proposed method implemented on a personal computer platform can easily track any objects in real-time, and the same opportunity exists for the ARM platform (CPU Cortex-A8, frequency 1 GHz), but for small objects.","PeriodicalId":257266,"journal":{"name":"2016 International Conference Radio Electronics & Info Communications (UkrMiCo)","volume":"13 3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Modification of the KCF tracking method for implementation on embedded hardware platforms\",\"authors\":\"A. Varfolomieiev, O. Lysenko\",\"doi\":\"10.1109/UKRMICO.2016.7739644\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an improved kernelized correlation filters method for implementation on embedded hardware platforms. A software realization of the improved tracking method is developed and tested. The proposed method implemented on a personal computer platform can easily track any objects in real-time, and the same opportunity exists for the ARM platform (CPU Cortex-A8, frequency 1 GHz), but for small objects.\",\"PeriodicalId\":257266,\"journal\":{\"name\":\"2016 International Conference Radio Electronics & Info Communications (UkrMiCo)\",\"volume\":\"13 3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Conference Radio Electronics & Info Communications (UkrMiCo)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/UKRMICO.2016.7739644\",\"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 International Conference Radio Electronics & Info Communications (UkrMiCo)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/UKRMICO.2016.7739644","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modification of the KCF tracking method for implementation on embedded hardware platforms
This paper presents an improved kernelized correlation filters method for implementation on embedded hardware platforms. A software realization of the improved tracking method is developed and tested. The proposed method implemented on a personal computer platform can easily track any objects in real-time, and the same opportunity exists for the ARM platform (CPU Cortex-A8, frequency 1 GHz), but for small objects.