实时监控系统使用了维奥拉·琼斯的方法

Rizka Eka Ananda Putri, Tekad Matulatan, Nurul Hayaty
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引用次数: 4

摘要

一般来说,人类被赋予了心智和思想,能够确定或能够区分出现的个体,无论是人、动物、植物还是其他已知或未知的物体。人类有可能通过视觉和大脑记忆来识别这些物体。特别是在人脸上,人类可以识别出物体是人还是不是人,并且可以通过自己的眼睛很好地识别物体。人脸检测系统在数字图像处理科学的发展中变得非常重要。这项研究有很多优点和缺点。从一张脸可以读出许多信息特征,如眼睛、鼻子和嘴。该检测系统采用Viola Jones方法作为目标检测方法。众所周知,Viola Jones方法具有相当高的速度和准确性,因为它将几个概念(Haar feature, Integral image, Adaboost, Cascade classifier)结合在一起,成为检测物体的主要方法。基于在可能影响人脸检测结果的条件下进行的人脸识别测试,结果表明,人脸检测的准确率为67.6%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sistem Deteksi Wajah Pada Kamera Realtime dengan menggunakan Metode Viola Jones
In general, human are given the mind and mind to be able to determine or be able to didtinguish individuals who appear either human, animal, plant, and other objects that are known or unknown. And it is possible for human to recognize these object from their sight and from their brain memory. Especially on the human face, human can recognize whether the object is human or not human, and can recognize the object very well through his own eyes.face detection system in human becomes very important in the development of science of digital image processing. The research has been done with many advantages and disadvantages. From a face many information features that can be read, such as eyes, nose, and mouth. The detection system uses Viola Jones method as an object detection method. The Viola Jones method is known to have considerable Speed and accuracy as it combines several concepts (Haar feature, Integral image, Adaboost, Cascade classifier) into a main method for detecting objects.Based on tests conducted on face identification under conditions that may affect face detection results, the results show an accuracy of 67,6 % to detect the face.
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