基于选煤厂监控视频的人脸检测
Face detection based on Surveillance video of Coal Preparation Plant
在强调安全生产的今天，将人脸识别技术应用到煤炭行业具有重要的意义。传统的选煤厂视频监控系统存在各种各样的不足。将人脸识别技术应用到监控系统中是今年来的一个研究课题，人脸识别的前提首先是人脸检测，本文研究了AdaBoost算法进行选煤厂监控视频的人脸检测，并对检测算法进行了改进，并进行实验，取得了不错的效果。
nowadays,safety of production is important.Face recognition technology used in the coal industry is of great significance.The traditional video monitoring system of Coal Preparation Plant has many problems.Face recognition technology can be applied to the monitoring and control system.Face detection is the previous work of face recognition.This article has conducted the face detection algorithm based on monitoring video using AdaBoost.And improving the detection algorithm.In the trial,get good effect.
颜浩、王洪栋、李明
选矿自动化技术、自动化技术设备计算技术、计算机技术
选煤厂监控视频人脸检测人脸识别daBoost
oal Preparation PlantSurveillance videoFace detectionFace detectionAdaBoost
颜浩,王洪栋,李明.基于选煤厂监控视频的人脸检测[EB/OL].(2011-07-07)[2025-08-02].http://www.paper.edu.cn/releasepaper/content/201107-102.点此复制
评论