Image Overlays on a video frame Using HOG algorithm

V. Harika, S. S.
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引用次数: 3

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.
利用HOG算法对视频帧进行图像叠加
Snap chat是一个众所周知的应用程序,它可以在我们的照片上添加一些酷炫的面部滤镜。本文提出了一种对视频帧中检测到的人脸区域应用人脸滤波器的技术,并根据用户的输入选择适合人脸区域的滤波器进行滤波。在捕获的视频帧上应用人脸滤波器是通过使用人脸检测算法对人脸进行跟踪和检测来完成的,其中基于dlib的直方图定向梯度(HOG)特征分类器和线性支持向量机(LSVM)模型是一种常用的人脸检测模型。使用Python代码与Open CV和dlib库进行计算。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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