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·394· 智能系统学报 第13卷 [4]BABENKO B,YANG M H,BELONGIE S.Robust object speed tracking with kernelized correlation filters[J].IEEE tracking with online multiple instance learning[J].IEEE transactions on pattern analysis and machine intelligence, transactions on pattern analysis and machine intelligence, 2015,37(3):583-596. 2011,33(8):1619-1632. [16余凯，贾磊，陈雨强，等.深度学习的昨天、今天和明天 []陈真，王钊.元认知粒子滤波目标跟踪算法[).智能系统 [).计算机研究与发展，2013,50(9y1799-1804 学报，2015,10(3)：387-392. YU Kai,JIA Lei,CHEN Yuqiang,et al.Deep learning: CHEN Zhen,WANG Zhao.Object tracking algorithm with yesterday,today,and tomorrow[J].Journal of computer re- metacognitive model-based particle filters[J].CAAI transac- search and development,2013,50(9):1799-1804. tions on intelligent systems,2015,10(3):387-392. [17]WANG Naiyan,YEUNG D Y.Learning a deep compact 6]MEI Xue,LING Haibin.Robust visual tracking using (1 image representation for visual tracking[C]//Proceedings of minimization[C]//Proceedings of the 12th IEEE Internation- the 26th International Conference on Neural Information al Conference on Computer Vision.Kyoto,Japan,2009: Processing Systems.Lake Tahoe,USA,2013:809-817. 1436-1443. [18]ZHANG Kaihua,LIU Qingshan,WU Yi,et al.Robust [7]ZHANG Kaihua,ZHANG Lei,YANG M H.Real-time visual tracking via convolutional networks without train- compressive tracking[Cl//Proceedings of the 12th European ing[J].IEEE transactions on image processing,2016, Conference on Computer Vision.Berlin,Germany,2012: 25(4:1779-1792 864-877. 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[10]BAR-SHALOM Y,FORTMANN T E,CABLE P G. 作者简介： Tracking and data association[J].The journal of the acous- 汪鸿翔，男，1992年生，硕士研究 tical society of America,1990,87(2):918-919. 生，主要研究方向为视频、图像处理、 [11]COMANICIU D.RAMESH V,MEER P.Real-time track- 视觉跟踪、深度学习相关算法。 ing of non-rigid objects using mean shift[C]//Proceedings of 2000 IEEE Conference on Computer Vision and Pattern Recognition.Hilton Head Island,SC,USA,2000:142-149. [12]ISARD M,BLAKE A.CONDENSATION-conditional density propagation for visual tracking[J].International 柳培忠，男，1976年生，副教授 journal of computer vision,1998,29(1):5-28. 美国杜克大学高级访问学者，博土，主 要研究方向为仿生智能计算、仿生图 [13]BOLME D S,BEVERIDGE J R,DRAPER B A,et al 像处理技术、多维空间仿生信息学。 Visual object tracking using adaptive correlation filters [C]//Proceedings of 2010 IEEE Conference on Computer Vision and Pattern Recognition.San Francisco,CA,USA, 2010:2544-2550. 骆炎民，男，1975年生，副教授 [14]HENRIQUES J F,CASEIRO R,MARTINS P,et al.Ex- 博士，主要研究方向为智能图像处理 ploiting the circulant structure of tracking-by-detection 机器学习。 with kernels[C]//Proceedings of the 12th European Confer- ence on Computer Vision.Berlin,Germany,2012:702- 715. [15]HENRIQUES J F,CASEIRO R,MARTINS P,et al.High-BABENKO B, YANG M H, BELONGIE S. Robust object tracking with online multiple instance learning[J]. IEEE transactions on pattern analysis and machine intelligence, 2011, 33(8): 1619–1632. [4] 陈真, 王钊. 元认知粒子滤波目标跟踪算法[J]. 智能系统 学报, 2015, 10(3): 387–392. CHEN Zhen, WANG Zhao. Object tracking algorithm with metacognitive model-based particle filters[J]. CAAI transactions on intelligent systems, 2015, 10(3): 387–392. [5] MEI Xue, LING Haibin. Robust visual tracking using ℓ1 minimization[C]//Proceedings of the 12th IEEE International Conference on Computer Vision. Kyoto, Japan, 2009: 1436-1443. [6] ZHANG Kaihua, ZHANG Lei, YANG M H. Real-time compressive tracking[C]//Proceedings of the 12th European Conference on Computer Vision. Berlin, Germany, 2012: 864-877. [7] 韩华, 丁永生, 郝矿荣. 综合颜色和小波纹理特征的免疫 粒子滤波视觉跟踪[J]. 智能系统学报, 2011, 6(4): 289– 294. HAN Hua, DING Yongsheng, HAO Kuangrong. An immune particle filter video tracking method based on color and wavelet texture[J]. CAAI transactions on intelligent systems, 2011, 6(4): 289–294. [8] RABINER L R. A tutorial on hidden Markov models and selected applications in speech recognition[J]. Proceedings of the IEEE, 1989, 77(2): 257–286. [9] BAR-SHALOM Y, FORTMANN T E, CABLE P G. Tracking and data association[J]. The journal of the acoustical society of America, 1990, 87(2): 918–919. [10] COMANICIU D, RAMESH V, MEER P. Real-time tracking of non-rigid objects using mean shift[C]//Proceedings of 2000 IEEE Conference on Computer Vision and Pattern Recognition. Hilton Head Island, SC, USA, 2000: 142-149. [11] ISARD M, BLAKE A. CONDENSATION-conditional density propagation for visual tracking[J]. International journal of computer vision, 1998, 29(1): 5–28. [12] BOLME D S, BEVERIDGE J R, DRAPER B A, et al. Visual object tracking using adaptive correlation filters [C]//Proceedings of 2010 IEEE Conference on Computer Vision and Pattern Recognition. San Francisco, CA, USA, 2010: 2544-2550. [13] HENRIQUES J F, CASEIRO R, MARTINS P, et al. Exploiting the circulant structure of tracking-by-detection with kernels[C]//Proceedings of the 12th European Conference on Computer Vision. Berlin, Germany, 2012: 702- 715. [14] [15] HENRIQUES J F, CASEIRO R, MARTINS P, et al. Highspeed tracking with kernelized correlation filters[J]. IEEE transactions on pattern analysis and machine intelligence, 2015, 37(3): 583–596. 余凯, 贾磊, 陈雨强, 等. 深度学习的昨天、今天和明天 [J]. 计算机研究与发展, 2013, 50(9): 1799–1804. YU Kai, JIA Lei, CHEN Yuqiang, et al. Deep learning: yesterday, today, and tomorrow[J]. Journal of computer research and development, 2013, 50(9): 1799–1804. [16] WANG Naiyan, YEUNG D Y. Learning a deep compact image representation for visual tracking[C]//Proceedings of the 26th International Conference on Neural Information Processing Systems. Lake Tahoe, USA, 2013: 809-817. [17] ZHANG Kaihua, LIU Qingshan, WU Yi, et al. Robust visual tracking via convolutional networks without training[J]. IEEE transactions on image processing, 2016, 25(4): 1779–1792. [18] NAM H, HAN B. Learning multi-domain convolutional neural networks for visual tracking[C]//Proceedings of 2016 IEEE Conference on Computer Vision and Pattern Recognition. Las Vegas, CA, USA, 2016: 4293-4302. [19] ROSS D A, LIM J, LIN R S, et al. Incremental learning for robust visual tracking[J]. International journal of computer vision, 2008, 77(1/2/3): 125–141. [20] WU Yi, LIM J, YANG M H. Object tracking benchmark [J]. IEEE transactions on pattern analysis and machine intelligence, 2015, 37(9): 1834–1848. [21] 作者简介： 汪鸿翔，男，1992 年生，硕士研究 生，主要研究方向为视频、图像处理、 视觉跟踪、深度学习相关算法。 柳培忠，男，1976 年生，副教授， 美国杜克大学高级访问学者，博士，主 要研究方向为仿生智能计算、仿生图 像处理技术、多维空间仿生信息学。 骆炎民，男，1975 年生，副教授， 博士，主要研究方向为智能图像处理、 机器学习。 ·394· 智 能 系 统 学 报 第 13 卷