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基于Adaboost的快速视频人脸检测 被引量：1

Fast Face Detection Algorithm Based On Adaboost in Video
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摘要 使用Haar型特征设计不同尺度弱分类器形式,采用Adaboost算法学习建立瀑布型人脸检测器。并针对视频人脸检测中,人脸旋转导致检测失败的现象,使用CAMSHIFT算法进行人脸跟踪,缩小检测范围,提高算法速度。试验结果表明,所提出的算法有更好的鲁棒性和更快的检测速度。 A novel Adaboost algorithm based video face detect method is developed. To reduce the influence of face rotation in video face detection, we introduce CAMSHIFT algorithm to trace and predict face region, experimental results show that the algorithm improves both speed and stability of face detection.
作者 魏昱宁 张丽 王吉军 魏小鹏 郝博
机构地区 大连大学智能信息处理重点实验室
出处 《大连大学学报》 2008年第3期52-56,共5页 Journal of Dalian University
基金 辽宁省教育厅科研项目(20060040) 大连市科技基金项目(2004-166-1) 辽宁省智能信息处理重点实验室开放课题(2006-1)
关键词 视频人脸检测 ADABOOST算法 HAAR特征 CAMSHIFT算法 video based face detection Adaboost Haar-like feature CAMSHIFT
分类号 TP317.4 [自动化与计算机技术—计算机软件与理论]
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参考文献9

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同被引文献13

  • 1田巍,庄镇泉.基于HSV色彩空间的自适应肤色检测[J].计算机工程与应用,2004,40(14):81-85. 被引量：37
  • 2Dipietro L,Sabatini A M, Dario P. A survey of glove based sys-tems and their applications [J]. IEEE Transactions on Systems,Man, and Cybernetics (Part C) : Applications and Reviews,2008,38(4):461-482.
  • 3Viola P, Jones M. Rapid object detection using a boosted cascadeof simple features[A]. Proc of IEEE Computer Society Confer-ence on Computer Vision and Pattern Recognition[C]. USA:IEEE Computer Society, 2001: 511-518.
  • 4Gang Li, Yinping Xu, Jiaying Wang. An improved AdaBoostface detection algorithm based on optimizing skin color model[A]. Sixth International Conference on Natural Computation[C], Yantai,Shandong,China:IEEE, 2010: 1013-2015.
  • 5Bouguet J Y. Pyramidal implementation of the Lucas Kanadefeature tracker description of the algorithm[Z]. Intel Corpora-tion, Microprocessor Research Labs,OpenCV Documents,2001.
  • 6Tamgada S N,Bora V R Motion Vector Estimation of VideoImage by Pyramidal Implementation of Lucas Kanade OpticalFlow [A]. 2009 2nd International Conference on EmergingTrends in Engineering and Technology (ICETET) [C]. Nag-pur, India: IEEE Computer Society, 2009 : 914-917.
  • 7Zhang Zhengyou. A Flexible New Technique for Camera Cali-bration[J]. IEEE transactions on pattern analysis and machineintelligence, 2000, 22(11): 1330-1334.
  • 8Bradski G,Kaebler A.学习 OpenCV[M].于仕琪,刘瑞祯,译.北京:清华大学出版社,2009.
  • 9龚卫国,桂祖宏,李正浩,辜小花.融合Adaboost和光流算法的视频人脸实时检测[J].仪器仪表学报,2008,29(7):1398-1402. 被引量：10
  • 10武汇岳,张凤军,刘玉进,戴国忠.基于视觉的手势界面关键技术研究[J].计算机学报,2009,32(10):2030-2041. 被引量：18

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大连大学学报
2008年 第3期

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