[1]欧伟奇,尹辉,许宏丽,等.一种基于Multi-Egocentric视频运动轨迹重建的多目标跟踪算法[J].智能系统学报,2019,14(2):246-253.[doi:10.11992/tis.201709003]
 OU Weiqi,YIN Hui,XU Hongli,et al.A multi-object tracking algorithm based on trajectory reconstruction on multi-egocentric video[J].CAAI Transactions on Intelligent Systems,2019,14(2):246-253.[doi:10.11992/tis.201709003]
点击复制

一种基于Multi-Egocentric视频运动轨迹重建的多目标跟踪算法

参考文献/References:
[1] SHAN Caifeng, WEI Yucheng, TAN Tieniu, et al. Real time hand tracking by combining particle filtering and mean shift[C]//Proceedings of the 6th IEEE International Conference on Automatic Face and Gesture Recognition. Seoul, South Korea, 2004:669-674.
[2] ZHANG Lei, LI Yuan, NEVATIA R. Global data association for multi-object tracking using network flows[C]//Proceedings of 2008 IEEE Conference on Computer Vision and Pattern Recognition. Anchorage, AK, USA, 2008:1-8.
[3] AVIDAN S. Ensemble tracking[J]. IEEE transactions on pattern analysis and machine intelligence, 2007, 29(2):261-271.
[4] XU Yuanlu, LIU Xiaobai, LIU Yang, et al. Multi-view people tracking via hierarchical trajectory composition[C]//Proceedings of 2016 IEEE Conference on Computer Vision and Pattern Recognition. Las Vegas, NV, USA, 2016:4256-4265.
[5] HE Shengfeng, YANG Qingxiong, LAU R W H, et al. Visual tracking via locality sensitive histograms[C]//Proceedings of 2013 IEEE Conference on Computer Vision and Pattern Recognition. Portland, USA, 2013:2427-2434.
[6] FLEURET F, BERCLAZ J, LENGAGNE R, et al. Multicamera people tracking with a probabilistic occupancy map[J]. IEEE transactions on pattern analysis and machine intelligence, 2008, 30(2):267-282.
[7] MEI Xue, LING Haibo. Robust visual tracking using ?1 minimization[C]//Proceedings of the 12th IEEE International Conference on Computer Vision. Kyoto, Japan, 2009:1436-1443.
[8] 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.
[9] 王宇霞, 赵清杰, 蔡艺明, 等. 基于自重构粒子滤波算法的目标跟踪[J]. 计算机学报, 2016, 39(7):1294-1306 WANG Yuxia, ZHAO Qingjie, CAI Yiming, et al. Tracking by auto-reconstructing particle filter trackers[J]. Chinese journal of computers, 2016, 39(7):1294-1306
[10] BAE S H, YOON K J. Robust online multi-object tracking based on tracklet confidence and online discriminative appearance learning[C]//Proceedings of 2014 IEEE Conference on Computer Vision and Pattern Recognition. Columbus, OH, USA, 2014:1218-1225.
[11] DICLE C, CAMPS O I, SZNAIER M. The way they move:tracking multiple targets with similar appearance[C]//Proceedings of 2013 IEEE International Conference on Computer Vision. Sydney, NSW, Australia, 2013:2304-2311.
[12] XIANG Yu, ALAHI A, SAVARESE S. Learning to track:online multi-object tracking by decision making[C]//Proceedings of 2015 IEEE International Conference on Computer Vision. Santiago, Chile, 2015:4705-4713.
[13] 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, NV, USA, 2016:4293-4302.
[14] KHAN S M, YAN Pingkun, SHAH M. A homographic framework for the fusion of multi-view silhouettes[C]//Proceedings of the 11th International Conference on Computer Vision. Rio de Janeiro, Brazil, 2007:1-8.
[15] FISCHLER M A, BOLLES R C. Random sample consensus:a paradigm for model fitting with applications to image analysis and automated cartography[J]. Communications of the ACM, 1981, 24(6):381-395.
[16] ZHANG Z. A flexible new technique for camera calibration[J]. IEEE transactions on pattern analysis and machine intelligence, 2000, 22(11):1330-1334.
[17] SCHWEIGHOFER G, PINZ A. Robust pose estimation from a planar target[J]. IEEE transactions on pattern analysis and machine intelligence, 2006, 28(12):2024-2030.
[18] BEKIR E. Adaptive Kalman filter for tracking maneuvering targets[J]. Journal of guidance, control, and dynamics, 2015, 6(5):414-416.
[19] DOLLáR P, APPEL R, BELONGIE S, et al. Fast feature pyramids for object detection[J]. IEEE transactions on pattern analysis and machine intelligence, 2014, 36(8):1532-1545.
[20] BERNARDI K, STIEFELHAGEN R. Evaluating multiple object tracking performance:the CLEAR MOT metrics[J]. EURASIP Journal on image and video processing, 2008, 2008(1):246309.
相似文献/References:
[1]李龙,尹辉,许宏丽,等.一种鲁棒的Multi-Egocentric视频中的多目标检测及匹配算法[J].智能系统学报,2016,11(5):619.[doi:10.11992/tis.201603050]
 LI Long,Yin Hui,XU Hongli,et al.A robust multi-object detection and matching algorithmfor multi-egocentric videos[J].CAAI Transactions on Intelligent Systems,2016,11(2):619.[doi:10.11992/tis.201603050]

备注/Memo

收稿日期:2017-09-05。
基金项目:国家自然科学基金项目(61472029,61473031);科技部国家重点研发计划项目(2017YFB1201104,2016YFB1200100);中央高校基本科研业务费专项资金项目(2016JBZ005).
作者简介:欧伟奇,男,1992出生,硕士研究生,主要研究方向为图像处理、机器学习。;尹辉,女,1972出生,教授,博士,主要研究方向为机器视觉、模式识别和神经计算。主持和参加国家和省部级科研项目60余项,发表学术论文20余篇,知识产权18项,获国家科学技术进步奖一等奖1项,教育部科技进步一等奖1项,中国专利优秀奖1项,中国铁道学会科学技术奖特等奖、二等奖各1项,北京市高等教育教学成果奖二等奖1项。;许宏丽,女,1963出生,教授,博士,主要研究方向为图像处理、机器学习和认知计算。主持铁道部项目2项,国重项目1项,参与多项国家和省部级科研项目,发表学术论文20余篇。主持国家精品课程《多媒体技术应用》,获国家教学进步二等奖。
通讯作者:尹辉.E-mail:hyin@bjtu.edu.cn

更新日期/Last Update: 2019-04-25
Copyright @ 《 智能系统学报》 编辑部
地址:(150001)黑龙江省哈尔滨市南岗区南通大街145-1号楼 电话:0451- 82534001、82518134