Rajdeep Pal, R. Seshadri, Swarnashree Mysore Sathyendra, S. Natarajan
{"title":"基于深度学习特征提取和监督分类器的视频实时头饰检测- ADCOM 2018","authors":"Rajdeep Pal, R. Seshadri, Swarnashree Mysore Sathyendra, S. Natarajan","doi":"10.34048/adcom.2018.paper.9","DOIUrl":null,"url":null,"abstract":"This paper presents an approach for detection of headgear in real-time video footages. The approach used is Feature Extraction followed by Classification. To pick specific features required for the aforesaid problem, a pre-trained deep learning model is used.","PeriodicalId":195065,"journal":{"name":"Proceedings of ADCOM","volume":"514 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Real-Time Headgear Detection in Videos Using Deep Learning Based Feature Extraction with A Supervised Classifier - ADCOM 2018\",\"authors\":\"Rajdeep Pal, R. Seshadri, Swarnashree Mysore Sathyendra, S. Natarajan\",\"doi\":\"10.34048/adcom.2018.paper.9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an approach for detection of headgear in real-time video footages. The approach used is Feature Extraction followed by Classification. To pick specific features required for the aforesaid problem, a pre-trained deep learning model is used.\",\"PeriodicalId\":195065,\"journal\":{\"name\":\"Proceedings of ADCOM\",\"volume\":\"514 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of ADCOM\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.34048/adcom.2018.paper.9\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of ADCOM","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.34048/adcom.2018.paper.9","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Real-Time Headgear Detection in Videos Using Deep Learning Based Feature Extraction with A Supervised Classifier - ADCOM 2018
This paper presents an approach for detection of headgear in real-time video footages. The approach used is Feature Extraction followed by Classification. To pick specific features required for the aforesaid problem, a pre-trained deep learning model is used.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
