计算机科学 ›› 2015, Vol. 42 ›› Issue (6): 313-316.doi: 10.11896/j.issn.1002-137X.2015.06.066
徐一鸣,陆 观,顾菊平
XU Yi-ming, LU Guan and GU Ju-ping
摘要: 基于颜色特征的运动目标跟踪算法容易受到光照非均匀变化或阴影的影响,如何利用多种特征联合构造目标模型以提升跟踪性能是一个关键问题。提出了一种新的特征融合运动目标跟踪算法,该算法基于局部二值模式(Local Binary Pattern,LBP)纹理特征,引入光照自适应的局部标准差构造二值模式门槛值,采用统一模式下的N-LBP纹理描述子构造特征直方图,并结合色度信息建立联合直方图,在Camshift算法框架内进行目标跟踪。实验证明,与传统Camshift算法相比,该算法在保证跟踪算法实时性能的同时,可以更好地克服阴影遮挡等导致的非均匀光照变化带来的影响,具有良好的跟踪效果。
[1] Howard R A,Matheson J E.Influence diagrams [J].Decision Analysis,2005,2(3):127-143 [2] Comaniciu D,Ramesh V,Meer P.Real-Time tracking of non-ri-gid objects using mean shift [C]∥Proc.of the IEEE conf.on Computer Vision and Pattern Recognition.Stoughton,2000:142-149 [3] Comaniciu D,Ramesh V,Meer P.Kernel-based object tracking[J].IEEE Trans on Pattern Analysis and Machine Intelligence,2003,25(5):564-575 [4] Bradski G R.Computer vision face tracking for use in a perceptual user interface [C]∥Proceedings of Fourth IEEE Workshop Applications of Computer Vision.Berlin:IEEE,1998:214-219 [5] Ojala T,Valkealahti K,Oja E,et al.Texture discrimination with muti-dimensional distributions of signed gray level differences [J].Pattern Recognition,2001,34(3):727-739 [6] 宋晓琳,王文涛,张伟伟.基于LBP纹理和改进Camshift算子的车辆检测与跟踪 [J].湖南大学学报:自然科学版,2013,40(8):52-57 Song Xiao-lin,Wang Wen-tao,Zhang Wei-wei.Vehicle detection and tracking based on the local binary pattern texture and improved camshift operator [J].Journal of Hunan University:Natural Science,2013,40(8):52-57 [7] 袁国武,徐丹.一种结合了纹理和颜色的运动目标跟踪算法[J].计算机应用与软件,2011,28(11):81-84 Yuan Guo-wu,Xu Dan.A moving objects tracking algorithm that combines texture and color [J].Computer Applications and Software,2011,28(11):81-84 [8] 王保云,范保杰.基于颜色纹理联合特征直方图的自适应Meanshift跟踪算法[J].南京邮电大学学报:自然科学版,2013,33(3):18-25 Wang Bao-yun,Fan Bao-jie.Adaptive meanshift tracking algorithm based on the combined feature histogram of color and texture [J].Journal of Nanjing University of Posts and Telecommunications:Natural Science,2013,33(3):18-25 [9] Performance Evaluation of Tracking and Surveillance 2001(PETS2001)[EB/OL].http://ftp.pets.rdg.ac.uk/pub/PETS2001 [10] Advanced Video and Signal based Surveillance 2007(AVSS2007)[EB/OL].http://www.eecs.qmul.ac.uk/~andrea/avss2007_d.html [11] Heikkia M,Pietikainen M.A texture-based method for modeling the background and detecting moving objects[J].IEEE Trans on Patt Anal Mach Intell,2006,28(4):657-662 [12] Hong Lian-jin,Qing Shan-liu,Han Qing-lu,et al.Face detection using improved LBP under Bayesian framework [C]∥Procee-dings of the 3rd International Conference on Image and Graphi-cs.New York:IEEE,2004:306-309 [13] Yu Wang,Xue Ye-wei,Shuo Xiao.LBP texture analysis basedon the local adaptive Niblack algorithm [C]∥Congress on Ima-ge and Signal Processing.New York:IEEE,2008:777-780 [14] Ojala T,Pietikainen M,Maenpaa T,et al.Multiresolution gray-scale and rotation invariant texture classification with local binary patterns [J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2002,24(7):971-987 |
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