计算机应用与软件Issue(2)：178-181,4.DOI:10.3969/j.issn.1000-386x.2015.02.045
基于 SURF 特征点的多人脸跟踪方法研究
RESEARCH ON MULTI-FACE TRACKING METHOD BASED ON SURF FEATURE POINTS
摘要
Abstract
Aiming at the problem of multi-object face tracking in the video sequence,we propose a feature point tracking method which combines the SURF feature with KLT matching algorithm.By fusing the proposed method,we design a frame of multi-face tracking system innovatively,it is able to achieve stable tracking on the object face when the object appears obvious changes in gesture and size,or encounters the interferences from complex environments of local shelter and inadequate lighting,etc.By the comparisons of multiple sets of experimental data,it is proved that the proposed algorithm,compared with mean shift algorithm and traditional KLT algorithm,has a superior robustness and obtains more accurate motion information.In addition,it also demonstrates that the multiple faces tracking system can achieve effective tracking for multiple faces in a complex environment.关键词
SURF算法/KLT算法/特征点匹配/特征点提取/多人脸跟踪Key words
Speed-up robust feature(SURF)/Kanade-Lucas-Tomasi(KLT)feature tracker/Feature points matching/Feature point ex-traction/Multi-face tracking分类
信息技术与安全科学引用本文复制引用
稂龙亚,钱雪忠..基于 SURF 特征点的多人脸跟踪方法研究[J].计算机应用与软件,2015,(2):178-181,4.基金项目
国家自然科学基金项目（61103129）；江苏省科技支撑计划项目 （）
