{"title":"利用HOG算法对视频帧进行图像叠加","authors":"V. Harika, S. S.","doi":"10.1109/ICADEE51157.2020.9368931","DOIUrl":null,"url":null,"abstract":"Snap chat is popularly known application where some cool and awesome face filters can be added on our pictures. This paper put forwards a technique for applying face filters on the detected facial region in the in a video frame and apply filters by taking input from user to select the desired filter that could applied on face region. Applying face filters on a captured video frame will be done by tracking and detecting faces using face detection algorithm in dlib based Histograms of Oriented Gradients (HOG) feature-based classifier and Linear Support vector Machine (LSVM) model is a commonly used model for detecting face. Results are obtained using Python code with Open CV and dlib library.","PeriodicalId":202026,"journal":{"name":"2020 IEEE International Conference on Advances and Developments in Electrical and Electronics Engineering (ICADEE)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Image Overlays on a video frame Using HOG algorithm\",\"authors\":\"V. Harika, S. S.\",\"doi\":\"10.1109/ICADEE51157.2020.9368931\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Snap chat is popularly known application where some cool and awesome face filters can be added on our pictures. This paper put forwards a technique for applying face filters on the detected facial region in the in a video frame and apply filters by taking input from user to select the desired filter that could applied on face region. Applying face filters on a captured video frame will be done by tracking and detecting faces using face detection algorithm in dlib based Histograms of Oriented Gradients (HOG) feature-based classifier and Linear Support vector Machine (LSVM) model is a commonly used model for detecting face. Results are obtained using Python code with Open CV and dlib library.\",\"PeriodicalId\":202026,\"journal\":{\"name\":\"2020 IEEE International Conference on Advances and Developments in Electrical and Electronics Engineering (ICADEE)\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE International Conference on Advances and Developments in Electrical and Electronics Engineering (ICADEE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICADEE51157.2020.9368931\",\"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 IEEE International Conference on Advances and Developments in Electrical and Electronics Engineering (ICADEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICADEE51157.2020.9368931","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Image Overlays on a video frame Using HOG algorithm
Snap chat is popularly known application where some cool and awesome face filters can be added on our pictures. This paper put forwards a technique for applying face filters on the detected facial region in the in a video frame and apply filters by taking input from user to select the desired filter that could applied on face region. Applying face filters on a captured video frame will be done by tracking and detecting faces using face detection algorithm in dlib based Histograms of Oriented Gradients (HOG) feature-based classifier and Linear Support vector Machine (LSVM) model is a commonly used model for detecting face. Results are obtained using Python code with Open CV and dlib library.