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一种基于AdaBoost的快速动态人脸检测算法
引用本文:邓亚峰,苏光大,傅博. 一种基于AdaBoost的快速动态人脸检测算法[J]. 计算机工程, 2006, 32(11): 222-224
作者姓名:邓亚峰  苏光大  傅博
作者单位:清华大学电子工程系,北京,100084
摘    要:提出了一种结合人脸检测和跟踪的快速动态人脸检测算法。在层次型AdaBoost检测算法的基础上,结合提出的一种基于线性预测的人脸跟踪算法来缩小搜索空间,使得检测速度提高到24ms/帧。还设计了一种结合层次型AdaBoost算法、负样本反馈方式和利用权值缩减训练时间的检测器训练方法,可以方便地应用于物体检测技术上。

关 键 词:人脸检测  人脸跟踪  人脸识别
文章编号:1000-3428(2006)11-0222-03
收稿时间:2005-07-06
修稿时间:2005-07-06

An Algorithm of Fast Face Detection in Video Based on AdaBoost
DENG Yafeng,SU Guangda,FU Bo. An Algorithm of Fast Face Detection in Video Based on AdaBoost[J]. Computer Engineering, 2006, 32(11): 222-224
Authors:DENG Yafeng  SU Guangda  FU Bo
Affiliation:Department of Electronic Engineering, Tsinghua University, Beijing 100084
Abstract:A fast face detection algorithm in video integrated with tracking is designed. It uses a cascade-structured face detector trained with AdaBoost to detect face. Integrated with a linear face tracker, searching region and rescaling levels of the detector are reduced, and thus detection speed is accelerated. It also designs a classifier training method integrated with AdaBoost, bootstrapping and weight-trimming, which can be easily used in object detection.
Keywords:Face detection   Face tracking   Face recognition
本文献已被 CNKI 维普 万方数据 等数据库收录!
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