·732· 智能系统学报 第14卷 cell receptive field properties by learning a sparse code robust tracking via multiple experts using entropy minim- for natural images[J].Nature,1996,381(6583):607-609. ization[C]//Proceedings of the 13th European Conference [25]KRIZHEVSKY A,SUTSKEVER I,HINTON G E.Im- on Computer Vision.Zurich,Switzerland,2014:188-203 agenet classification with deep convolutional neural net- [33]MA Chao,YANG Xiaokang,ZHANG Chongyang,et al. works[C]//Proceedings of the 25th International Confer- Long-term correlation tracking[C]//Proceedings of 2015 ence on Neural Information Processing Systems.Lake IEEE Conference on Computer Vision and Pattern Recog- Tahoe,USA,2012:1097-1105. nition.Boston,USA.2015:5388-5396. [26]BLEIHOLDER J,NAUMANN F.Data fusion[J].ACM computing surveys(CSUR),2009,41(1):1. [34]SUN H.Y data[EB/OL].https://github.com/SMZCC/A_ [27]KALMAN R E.A new approach to linear filtering and proposed_deep_tracker. prediction problems[J].Journal of basic engineering, 作者简介： 1960,82(1)35-45. 孙海宇，男，1993年生，硕士研究 [28]FELZENSZWALB P F,GIRSHICK R B,MC- 生，主要研究方向为图像处理、目标跟 ALLESTER D,et al.Object detection with discriminat- 踪、深度学习相关算法。 ively trained part-based models[J].IEEE transactions on pattern analysis and machine intelligence,2010,32(9): 1627-1645 [29]RUSSAKOVSKY O,DENG Jia,SU Hao,et al.Imagenet large scale visual recognition challenge[J].International 陈秀宏，男，1964年生，教授，博 journal of computer vision,2015,115(3):211-252. 土后，主要研究方向为数字图像处理 [30]ABADI M,BARHAM P,CHEN Jianmin,et al.Tensor- 和模式识别、目标检测与跟踪、优化理 论与方法。发表学术论文100余篇。 flow:a system for large-scale machine learning[Cl//Pro- ceedings of the 12th USENIX conference on Operating Systems Design and Implementation.Savannah,USA, 2016:265-283. [31]CHOI J,CHANG H J,YUN S,et al.Attentional correla- 肖汉雄.男，1991年生，硕土研究 生，主要研究方向为模式识别和数 tion filter network for adaptive visual tracking[C]//Pro- 字图像处理、人脸识别、深度学习相关 ceedings of 2017 IEEE Conference on Computer Vision 算法。 and Pattern Recognition.Honolulu,USA,2017: 4828-4837. [32]ZHANG Jianming,MA Shugao,SCLAROFF S.MEEM:cell receptive field properties by learning a sparse code for natural images[J]. Nature, 1996, 381(6583): 607–609. KRIZHEVSKY A, SUTSKEVER I, HINTON G E. Im￾agenet classification with deep convolutional neural net￾works[C]//Proceedings of the 25th International Confer￾ence on Neural Information Processing Systems. Lake Tahoe, USA, 2012: 1097–1105. [25] BLEIHOLDER J, NAUMANN F. Data fusion[J]. ACM computing surveys (CSUR), 2009, 41(1): 1. [26] KALMAN R E. A new approach to linear filtering and prediction problems[J]. Journal of basic engineering, 1960, 82(1): 35–45. [27] FELZENSZWALB P F, GIRSHICK R B, MC￾ALLESTER D, et al. Object detection with discriminat￾ively trained part-based models[J]. IEEE transactions on pattern analysis and machine intelligence, 2010, 32(9): 1627–1645. [28] RUSSAKOVSKY O, DENG Jia, SU Hao, et al. Imagenet large scale visual recognition challenge[J]. International journal of computer vision, 2015, 115(3): 211–252. [29] ABADI M, BARHAM P, CHEN Jianmin, et al. Tensor￾flow: a system for large-scale machine learning[C]//Pro￾ceedings of the 12th USENIX conference on Operating Systems Design and Implementation. Savannah, USA, 2016: 265–283. [30] CHOI J, CHANG H J, YUN S, et al. Attentional correla￾tion filter network for adaptive visual tracking[C]//Pro￾ceedings of 2017 IEEE Conference on Computer Vision and Pattern Recognition. Honolulu, USA, 2017: 4828–4837. [31] [32] ZHANG Jianming, MA Shugao, SCLAROFF S. MEEM: robust tracking via multiple experts using entropy minim￾ization[C]//Proceedings of the 13th European Conference on Computer Vision. Zurich, Switzerland, 2014: 188–203. MA Chao, YANG Xiaokang, ZHANG Chongyang, et al. Long-term correlation tracking[C]//Proceedings of 2015 IEEE Conference on Computer Vision and Pattern Recog￾nition. Boston, USA, 2015: 5388–5396. [33] SUN H. Y data[EB/OL]. https://github.com/SMZCC/A_ proposed_deep_tracker. [34] 作者简介： 孙海宇，男，1993 年生，硕士研究 生，主要研究方向为图像处理、目标跟 踪、深度学习相关算法。 陈秀宏，男，1964 年生，教授，博 士后，主要研究方向为数字图像处理 和模式识别、目标检测与跟踪、优化理 论与方法。发表学术论文 100 余篇。 肖汉雄，男，1991 年生，硕士研究 生，主要研究方向为模式识别和数 字图像处理、人脸识别、深度学习相关 算法。 ·732· 智 能 系 统 学 报 第 14 卷