南京大学学报(自然科学版) ›› 2019, Vol. 55 ›› Issue (1): 8591.doi: 10.13232/j.cnki.jnju.2019.01.008
阚建飞,任永峰*,翟继友,董学育,霍 瑛
Kan Jianfei,Ren Yongfeng*,Zhai Jiyou,Dong Xueyu,Huo Ying
摘要: 基于稀疏表示理论的目标跟踪方法可以通过激活少量神经元完成目标的动态跟踪,但是要求在当前图像背景中的遮挡或者目标物的姿态变化是可以进行稀疏表示的小面积范围. 针对这一问题,基于Gabor函数和稀疏理论提出一种强鲁棒性的目标跟踪算法. 该算法首先使用目标模板在初始帧中创建Gabor字典,其次使用该字典对候选目标完成稀疏表示,最后通过对Gabor字典的更新完成目标跟踪. 实验结果表明了算法的有效性.
中图分类号:
[1] 王华剑,景占荣,羊 彦. 基于改进扩展卡尔曼粒子滤波的目标跟踪算法. 计算机应用研究,2011,28(5):1634-1643.(Wang H J,Jing Z R,Yang Y. Target tracking algorithm based on improved extend Kalman particle filter. Application Research of Computers,2011,28(5):1634-1643.) [2] 景 阳,刘 琳,曾昭龙等. 遮挡情况下的人体检测与跟踪. 科学技术与工程,2014,14(16):129-133,138.(Jing Y,Liu L,Zeng Z L,et al. Human detection and tracking under occlusion. Science Technology and Engineering,2014,14(16):129-133,138.) [3] Hariharakrishnan K,Schonfeld D. Fast object tracking using adaptive block matching. IEEE Transactions on Multimedia,2005,7(5):853-859. [4] Bai T X,Li Y F. Robust visual tracking with structured sparse representation appearance model. Pattern Recognition,2012,45(6):2390-2404. [5] Donoho D L. Compressed sensing. IEEE Transactions on Information Theory,2006,52(4):1289-1306. [6] ACˇehovin L,Leonardis A,Kristan M. Visual object tracking performance measures revisited. IEEE Transactions on Image Processing,2016,25(3):1261-1274. [7] Kristan M,Leonardis A,Matas J,et al. The visual object tracking VOT2016 challenge results ∥ European Conference on Computer Vision - ECCV’16. Amsterdam,The Nether-lands:Springer International Publishing,2016:191-217. [8] Hare S,Golodetz S,Saffari A,et al. Struck:Structured output tracking with kernels. IEEE Transactions on Pattern Analysis and Machine Intelligence,2016,38(10):2096-2109. [9] Zhang K H,Liu Q S,Wu Y,et al. Robust visual tracking via convolutional networks without training. IEEE Transactions on Image Processing,2016,25(4):1779-1792. [10] Yong W,Hu S,Wu S. Object tracking based on Huber loss function. Visual Computer,2018(2):1-14. [11] Mei X,Ling H B. Robust visual tracking using L1 minimization ∥ Proceedings of the 12th IEEE International Conference on Computer vision. Kyoto,Japan:IEEE,2009:1436-1443. [12] 王然冉,张铁力,李晓佳. 基于粒子滤波器的人体目标跟踪. 计算机应用与软件,2008,25(12):247-248,251.(Wang R R,Zhang T L,Li X J. Human-body object tracking based on particle filter. Computer Applications and Software,2008,25(12):247-248,251.) [13] Wang J Y,Chen X L,Gao W. Online selecting discriminative tracking features using particle filter ∥ Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition. San Diego,CA,USA:IEEE,2015:1037-1042. [14] Hartley R,Zisserman A. Multiple view geometry in computer vision. The 2nd Edition. Cambridge:Cambridge University Press,2003,560. [15] Mei X,Ling H B. Robust visual tracking and vehicle classification via sparse representation. IEEE Transactions on Pattern Analysis and Machine Intelligence,2011,33(11):2259-2272. [16] Danelljan M,Hager G,Khan F S,et al. Discriminative scale space tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence,2017,39(8):1561-1575. [17] Wang D,Lu H C,Xiao Z Y,et al. Inverse sparse tracker with a locally weighted distance metric. IEEE Transactions on Image Processing,2015,24(9):2646-2657. |
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