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Image Overlays on a video frame Using HOG algorithm

TitleImage Overlays on a video frame Using HOG algorithm
Publication TypeConference Proceedings
Year of Conference2020
AuthorsHarika, V. Ramanuja., and S. Sivaramakrishnan
Conference NameIEEE INTERNATIONAL CONFERENCE ON ADVANCES AND DEVELOPMENTS IN ELECTRICAL AND ELECTRONICS ENGINEERING (ICADEE 2020)
Pagination157 -161
Date Published2020
ISBN Number978-1-7281-9252-9
KeywordsDepartment of Electronics and Communication Engineering, Scopus
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.

DOI10.1109/ICADEE51157.2020.9368931