计算机科学 ›› 2015, Vol. 42 ›› Issue (7): 309-313.doi: 10.11896/j.issn.1002-137X.2015.07.066
张朝晖,刘永霞,雷 倩
ZHANG Zhao-hui, LIU Yong-xia and LEI Qian
摘要: 基于AdaBoost分类器的图像/视频目标检测系统具有检测精度高、检测速度快的特点,但当训练样本数目多、样本描述的特征维数高时,分类器的训练过程将会异常缓慢。为有效改善分类器训练的时间性能,从限制弱分类器训练样本规模的角度,提出了一种改进的boosting分类器训练模型,即基于SC-AdaBoost的分类器训练模型。基于VOC2006数据集的车辆检测实验表明,在不损失分类器检测性能的前提下,SC-AdaBoost训练模型可明显减少分类器的训练时间。
[1] Viola P,Jones M.Robust real-time face detection [J].Interna-tional Journal of Computer Vision,2004,57(2):137-154 [2] Lienhart R,Maydt J.An extended set of Haar-like features for rapid object detection[C]∥Proceedings of the IEEE International Conference on Image Processing,2002.New York,USA:IEEE Computer Society Press,2002 [3] Zheng W,Liang L.Fast car detection using image strip features[C]∥Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2009.Finland:IEEE Computer Society Press,2009 [4] Negri P,Clady X,Hanif S M,et al.A cascade of boosted genera-tive and discriminative classifiers for vehicle detection[J].EURASIP Journal on Advances in Signal Processing,2008,2008(1):1-12 [5] Han F,Shan Y,Cekander R,et al.A two-stage approach to people and vehicle detection with HOG-based SVM[C]∥Procee-dings of Performance Metrics for Intelligent Systems (PerMIS 2006).USA:Springer,2006 [6] Alonso I P,Llorca D F,Sotelo M A,et al.Combination of feature extraction methods for SVM pedestrian detection [J].IEEE Transactions on Intelligent Transportation Systems,2007,8(2):292-307 [7] Vedaldi A,Gulshan V,Varma M,et al.Multiple kernels for object detection[C]∥Proceedings of the IEEE International Conference on Computer Vision,2009.Kyoto,Japan:IEEE ComputerSociety Press,2009 [8] Freund Y,Schapire R E.A decision-theoretic generalization ofon-line learning and an application to boosting [J].Journal of Computer and System Sciences,1997,55(1):119-139 [9] Vapnik V.Statistical learning theory[M].New York:Wiley,1998 [10] Dalal N,Triggs B.Histograms of oriented gradients for human detection[C]∥Proceeedings of IEEE Conference on Computer Vision and Pattern Recognition,2005.USA:IEEE Computer Society Press,2005 [11] Chang C C,Lin C J.LIBSVM:a Library for s Support Vector Machines[J].ACM Transactions on Intelligent Systems and Technology,2011,2(3):1-27 [12] Fan R E,Chen P H,Lin C T.Working set selection using second order information for training SVM[J].Journal of Machine Learning Research,2005,6(12):1889-1918 [13] 刘永霞.图像/视频车辆检测若干问题的研究[D].石家庄:河北师范大学,2012 Liu Yong-xia.Study on Image/Video-Based Vehicle Detection[D].Shijiazhuang:Hebei Normal University,2012 |
No related articles found! |
|