计算机应用与软件2017，Vol.34Issue(9)：279-282,287,5.DOI:10.3969/j.issn.1000-386x.2017.09.054
人脸检测与跟踪算法优化及Web端实现
OPTIMIZATION OF FACE DETECTION AND TRACKING ALGORITHM AND IMPLEMENTATION OF WEB
摘要
Abstract
In order to solve the problems about release,expansion and maintenance in the using process of system software which realization face detection and tracking,HTML5-based face detection and tracking is proposed.By combining HTML5 Canvas technology with computer vision algorithms library,using a face feature classifier based on Viola-Jones algorithm and a variety of programming languages such as JavaScript,it implements HTML5-based face detection and tracking function on the page.Experimental results show that the method not only can effectively reduce the cost of resources,support the implementation of face detection and tracking algorithm on Web,but also meet the real-time requirements of face detection and tracking,and ensure the detection rate of face detection,with better detection effect.关键词
HTML5/人脸检测/人脸跟踪/WebKey words
HTML5/Face detection/Face tracking/Web分类
信息技术与安全科学引用本文复制引用
陈丽枫,王佳斌,郑力新..人脸检测与跟踪算法优化及Web端实现[J].计算机应用与软件,2017,34(9):279-282,287,5.基金项目
国家自然科学基金青年科学基金项目(61505059) （61505059）
泉州市科技局重点项目(2013Z12). （2013Z12）
