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第4期 孙海宇,等:联合外形响应的深度目标追踪器 ·731· 参考文献: tracking[C]//Proceedings of European Conference on Computer Vision.Amsterdam,The Netherlands,2016: [1]WU Yi,LIM J,YANG M H.Online object tracking:a 850-865 benchmark[Cl//Proceedings of 2013 IEEE Conference on [13]VALMADRE J.BERTINETTO L.HENRIQUES J.et al. Computer Vision and Pattern Recognition.Portland,USA. End-to-end representation learning for correlation filter 2013:2411-2418. based tracking[C]//Proceedings of 2017 IEEE Confer- [2]杨戈,刘宏.视觉跟踪算法综述).智能系统学报,2010, ence on Computer Vision and Pattern Recognition.Hon- 5(2):95-105 olulu.USA.2017:5000-5008. YANG Ge,LIU Hong.Survey of visual tracking al- [14]GUO Qing,FENG Wei,ZHOU Ce,et al.Learning dy- gorithms[J].CAAI transactions on intelligent systems, namic Siamese network for visual object tracking[C]// 2010,5(2):95-105. Proceedings of 2017 IEEE International Conference on [3]WU Yi,LIM J,YANG M H.Object tracking Computer Vision.Venice,Italy,2017:1781-1789. benchmark[J].IEEE transactions on pattern analysis and [15]LI Bo,YAN Junjie,WU Wei,et al.High performance machine intelligence.2015.37(9):1834-1848. visual tracking with Siamese region proposal [4]管皓,薛向阳,安志勇.深度学习在视频目标跟踪中的应 network[Cl//Proceedings of 2018 IEEE/CVF Conference 用进展与展望).自动化学报,2016,42(6):834-847 on Computer Vision and Pattern Recognition.Salt Lake GUAN Hao,XUE Xiangyang,AN Zhiyong.Advances on City,USA,2018:8971-8980. application of deep learning for video object tracking[J]. Acta automatica sinica,2016,42(6):834-847. [16]ZHU Zheng,WANG Qiang,LI Bo,et al.Distractor- aware Siamese networks for visual object tracking[C// [5]HENRIQUES J F,CASEIRO R,MARTINS P,et al.High- Proceedings of European Conference on Computer Vis- speed tracking with kernelized correlation filters[J].IEEE ion.Munich,Germany,2018:103-119. transactions on pattern analysis and machine intelligence, 2015,37(3):583-596. [17]DONG Xingping,SHEN Jianbing.Triplet loss in Sia- [6]DANELLJAN M.HAGER G.KHAN F S.et al.Discrim- mese network for object tracking[C]//Proceedings of the inative scale space tracking[J].IEEE transactions on pat- 15th European Conference on Computer Vision.Munich, tern analysis and machine intelligence,2017,39(8): Germany,2018:472-488. 1561-1575 [18]BOLME D S,BEVERIDGE J R,DRAPER B A,et al. [7]HENRIQUES J F,CASEIRO R,MARTINS P,et al.Ex- Visual object tracking using adaptive correlation filters[CV/ ploiting the circulant structure of tracking-by-detection Proceedings of 2010 IEEE Computer Society Conference with kernels[C]//Proceedings of the 12th European Confer- on Computer Vision and Pattern Recognition.California, ence on Computer Vision.Florence,Italy,2012:702-715. USA.2010:2544-2550. [8]BERTINETTO L,VALMADRE J,GOLODETZ S,et al. [19]DANELLJAN M.HAGER G,KHAN F S,et al.Accur- Staple:complementary learners for real-time tracking[Cl/ ate scale estimation for robust visual tracking[Cl//Pro- Proceedings of 2016 IEEE Conference on Computer Vis- ceedings of the 25th British Machine Vision Conference. ion and Pattern Recognition.Las Vegas,USA,2016: Linkoping,Sweden,2014:1-5 1401-1409. [20]CANNY J.A computational approach to edge [9]LI Yang,ZHU Jianke.A scale adaptive kernel correlation detection[J].IEEE transactions on pattern analysis and filter tracker with feature integration[C]//Proceedings of machine intelligence,1986,PAMI-8(6):679-698. European Conference on Computer Vision.Zurich, [21]DALAL N,TRIGGS B.Histograms of oriented gradients Switzerland,2014:254-265. for human detection[C]//Proceedings of 2005 IEEE Com- [10]ALOM MZ,TAHA T M,YAKOPCIC C,et al.The his- puter Society Conference on Computer Vision and Pat- tory began from alexNet:a comprehensive survey on deep tern Recognition.California,USA,2005:886-893. learning approaches[J]arXiv:1803.01164,2018. [22]DERICHE R.Using Canny's criteria to derive a recurs- [11]WANG Naiyan,YEUNG D Y.Learning a deep compact ively implemented optimal edge detector[J].International image representation for visual tracking[C//Proceedings journal of computer vision,1987,1(2):167-187. of the 26th International Conference on Neural Informa- [23]ELDER J H.ZUCKER S W.Local scale control for edge tion Processing Systems.Lake Tahoe,USA,2013: detection and blur estimation[J].IEEE transactions on 809-817. pattern analysis and machine intelligence,1998,20(7): [12]BERTINETTO L,VALMADRE J,HENRIQUES J F,et al. 699-716. Fully-convolutional Siamese networks for object [24]OLSHAUSEN B A,FIELD D J.Emergence of simple-参考文献: WU Yi, LIM J, YANG M H. Online object tracking: a benchmark[C]//Proceedings of 2013 IEEE Conference on Computer Vision and Pattern Recognition. Portland, USA, 2013: 2411–2418. [1] 杨戈, 刘宏. 视觉跟踪算法综述 [J]. 智能系统学报, 2010, 5(2): 95–105. YANG Ge, LIU Hong. Survey of visual tracking al￾gorithms[J]. CAAI transactions on intelligent systems, 2010, 5(2): 95–105. [2] WU Yi, LIM J, YANG M H. Object tracking benchmark[J]. IEEE transactions on pattern analysis and machine intelligence, 2015, 37(9): 1834–1848. [3] 管皓, 薛向阳, 安志勇. 深度学习在视频目标跟踪中的应 用进展与展望 [J]. 自动化学报, 2016, 42(6): 834–847. GUAN Hao, XUE Xiangyang, AN Zhiyong. Advances on application of deep learning for video object tracking[J]. Acta automatica sinica, 2016, 42(6): 834–847. [4] HENRIQUES J F, CASEIRO R, MARTINS P, et al. High￾speed tracking with kernelized correlation filters[J]. IEEE transactions on pattern analysis and machine intelligence, 2015, 37(3): 583–596. [5] DANELLJAN M, HÄGER G, KHAN F S, et al. Discrim￾inative scale space tracking[J]. IEEE transactions on pat￾tern analysis and machine intelligence, 2017, 39(8): 1561–1575. [6] HENRIQUES J F, CASEIRO R, MARTINS P, et al. Ex￾ploiting the circulant structure of tracking-by-detection with kernels[C]//Proceedings of the 12th European Confer￾ence on Computer Vision. Florence, Italy, 2012: 702–715. [7] BERTINETTO L, VALMADRE J, GOLODETZ S, et al. Staple: complementary learners for real-time tracking[C]// Proceedings of 2016 IEEE Conference on Computer Vis￾ion and Pattern Recognition. Las Vegas, USA, 2016: 1401–1409. [8] LI Yang, ZHU Jianke. A scale adaptive kernel correlation filter tracker with feature integration[C]//Proceedings of European Conference on Computer Vision. Zurich, Switzerland, 2014: 254–265. [9] ALOM M Z, TAHA T M, YAKOPCIC C, et al. The his￾tory began from alexNet: a comprehensive survey on deep learning approaches[J] arXiv: 1803.01164, 2018. [10] WANG Naiyan, YEUNG D Y. Learning a deep compact image representation for visual tracking[C]//Proceedings of the 26th International Conference on Neural Informa￾tion Processing Systems. Lake Tahoe, USA, 2013: 809–817. [11] BERTINETTO L, VALMADRE J, HENRIQUES J F, et al. Fully-convolutional Siamese networks for object [12] tracking[C]//Proceedings of European Conference on Computer Vision. Amsterdam, The Netherlands, 2016: 850–865. VALMADRE J, BERTINETTO L, HENRIQUES J, et al. End-to-end representation learning for correlation filter based tracking[C]//Proceedings of 2017 IEEE Confer￾ence on Computer Vision and Pattern Recognition. Hon￾olulu, USA, 2017: 5000–5008. [13] GUO Qing, FENG Wei, ZHOU Ce, et al. Learning dy￾namic Siamese network for visual object tracking[C]// Proceedings of 2017 IEEE International Conference on Computer Vision. Venice, Italy, 2017: 1781–1789. [14] LI Bo, YAN Junjie, WU Wei, et al. High performance visual tracking with Siamese region proposal network[C]//Proceedings of 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Salt Lake City, USA, 2018: 8971–8980. [15] ZHU Zheng, WANG Qiang, LI Bo, et al. Distractor￾aware Siamese networks for visual object tracking[C]// Proceedings of European Conference on Computer Vis￾ion. Munich, Germany, 2018: 103–119. [16] DONG Xingping, SHEN Jianbing. Triplet loss in Sia￾mese network for object tracking[C]//Proceedings of the 15th European Conference on Computer Vision. Munich, Germany, 2018: 472–488. [17] BOLME D S, BEVERIDGE J R, DRAPER B A, et al. Visual object tracking using adaptive correlation filters[C]// Proceedings of 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. California, USA, 2010: 2544–2550. [18] DANELLJAN M, HÄGER G, KHAN F S, et al. Accur￾ate scale estimation for robust visual tracking[C]//Pro￾ceedings of the 25th British Machine Vision Conference. Linköping, Sweden, 2014: 1–5 [19] CANNY J. A computational approach to edge detection[J]. IEEE transactions on pattern analysis and machine intelligence, 1986, PAMI-8(6): 679–698. [20] DALAL N, TRIGGS B. Histograms of oriented gradients for human detection[C]//Proceedings of 2005 IEEE Com￾puter Society Conference on Computer Vision and Pat￾tern Recognition. California, USA, 2005: 886–893. [21] DERICHE R. Using Canny's criteria to derive a recurs￾ively implemented optimal edge detector[J]. International journal of computer vision, 1987, 1(2): 167–187. [22] ELDER J H, ZUCKER S W. Local scale control for edge detection and blur estimation[J]. IEEE transactions on pattern analysis and machine intelligence, 1998, 20(7): 699–716. [23] [24] OLSHAUSEN B A, FIELD D J. Emergence of simple- 第 4 期 孙海宇,等:联合外形响应的深度目标追踪器 ·731·
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