现代电子技术2016，Vol.39Issue(9)：121-125,5.DOI:10.16652/j.issn.1004-373x.2016.09.028
半自主在线学习目标检测系统
Object detection system with semi-autonomous online learning
摘要
Abstract
Since the object attitude has great variation in different monitoring scenes and different imaging conditions,an object detection system with semi⁃autonomous learning ability is proposed. The system can improve the detection performance by means of fast semi⁃autonomous learning while executing the detection task. The system is composed of object detection module and online learning module. To satisfy the requirement of system online learning,the online learning method of random fern classifier is proposed. It can sustainably self⁃renewal the object detection module,and improve the detection performance. The whole learning process by needn′t prepare the initial training samples semi⁃autonomous learning framework,and only select a detected object to perform the adaptive learning,so the detection performance is improved gradually. The experimental results show that the method has strong adaptive capability and high detection rate.关键词
在线学习/目标检测/随机蕨分类器/半自主学习Key words
online learning/object detection/random fern classifier/semi-autonomous learning分类
信息技术与安全科学引用本文复制引用
罗琛,韩家宝,罗大鹏..半自主在线学习目标检测系统[J].现代电子技术,2016,39(9):121-125,5.基金项目
国家自然科学基金资助项目（61302137）；湖北省自然科学基金资助项目 （）
