Detection, Recognition, and Tracking Face Using 2 DoF Robot with Haar LBP Histogram

D. Pamungkas, Sayeed Al-Aidid
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引用次数: 3

Abstract

Robot with face detection and recognition can be useful. Some researchers have already been tried to implement the face detection and identification to robot applications, however, these applications need a high requirement of the camera(s). This paper attempts to overcome this problem, using a webcam placed in a head robot. Haar Cascade as face detection algorithm, whereas face recognition uses a local binary pattern histogram method is used. This system enables to differentiate the face of the human with others objects and capable of identifying the person. Moreover, this robot able to follow the movement of the face.
基于Haar LBP直方图的二自由度机器人人脸检测、识别与跟踪
机器人具有人脸检测和识别功能。一些研究人员已经尝试在机器人应用中实现人脸检测和识别,但是这些应用对相机的要求很高。本文试图克服这个问题,使用放置在头部机器人的网络摄像头。哈尔级联作为人脸检测算法,而人脸识别则采用局部二值模式直方图方法。该系统能够将人脸与其他物体区分开来,并能够识别人。此外,这个机器人能够跟随脸部的运动。
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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