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协同交互情境下双视图耦合的多用户身份识别

杨玉辉 王伟杰 万华根

杨玉辉, 王伟杰, 万华根等 . 协同交互情境下双视图耦合的多用户身份识别[J]. 北京航空航天大学学报, 2015, 41(5): 930-940. doi: 10.13700/j.bh.1001-5965.2014.0454
引用本文: 杨玉辉, 王伟杰, 万华根等 . 协同交互情境下双视图耦合的多用户身份识别[J]. 北京航空航天大学学报, 2015, 41(5): 930-940. doi: 10.13700/j.bh.1001-5965.2014.0454
YANG Yuhui, WANG Weijie, WAN Huagenet al. Multi-user identification based on double views coupling in cooperative interaction scenarios[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(5): 930-940. doi: 10.13700/j.bh.1001-5965.2014.0454(in Chinese)
Citation: YANG Yuhui, WANG Weijie, WAN Huagenet al. Multi-user identification based on double views coupling in cooperative interaction scenarios[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(5): 930-940. doi: 10.13700/j.bh.1001-5965.2014.0454(in Chinese)

协同交互情境下双视图耦合的多用户身份识别

doi: 10.13700/j.bh.1001-5965.2014.0454
基金项目: 国家自然科学基金(61272299);浙江省教育厅项目(Y201225600);浙江省卫生厅项目(2012KYB064)
详细信息
    作者简介:

    杨玉辉(1984—),男,河南洛阳人,硕士研究生,工程师,zju_edu@zju.edu.cn

    通讯作者:

    万华根(1968—),男,浙江杭州人,副教授,hgwan@cad.zju.edu.cn,主要研究方向为自然人机交互、增强现实及应用.

  • 中图分类号: TP391.4

Multi-user identification based on double views coupling in cooperative interaction scenarios

  • 摘要: 针对目前协同交互情境下,因遮挡和接触等因素引发的多人协作身份识别错误问题,提出一种双视图耦合的多用户身份识别方法.借助深度相机,分别通过骨骼运动跟踪和卡尔曼滤波建立双视图运动跟踪.利用双视图的用户运动跟踪数据构建相互关联的耦合有限状态机,对耦合关系中的具体运动状态进行分析,建立规则算法;引入实时正误标记值进行多用户身份识别的实时监控与耦合矫正.所提方法与基于单视图的多用户身份识别方法进行对比实验,结果表明,在协同交互情境下所提方法对多用户身份识别更具有鲁棒性.

     

  • [1] Grudin J,Poltrock S.Taxonomy and theory in computer supported cooperative work[M].Kozlowski S W J.The Oxford Handbook of Organizational Psychology.Oxford:Oxford University Press,2012:1323-1348.
    [2] Navarro P,Johns M L,Lu T H,et al.Webz of war:a cooperative exergame driven by the heart[C]//2013 IEEE Intermational Games Innovation Conference.Vancouver,BC:IEEE,2013:187-190.
    [3] 迟健男,刘丛丛,朱博,等.多人多点触摸系统多用户协同交互触点归属问题研究[C]//第25届中国控制与决策会议论文集.沈阳:东北大学出版社,2013:3478-3485. Chi J N,Liu C C,Zhu B,et al.Research on the ownership of user touch points of multi-user cooperative interaction in multi-user multi-touch system[C]//Control and Decision Conference(CCDC),2013 25th Chinese.Shenyang:Northeastern University Press,2013:3478-3485.(in Chinese)
    [4] Hocking C G,Furnell S M,Clarke N L,et al.Co-operative user identity verification using an authentication aura[J].Computers & Security,2013,39(8):486-502.
    [5] Gall J,Stoll C,De Aguiar E,et al.Motion capture using joint skeleton tracking and surface estimation[C]//2009 IEEE Computer Society Conference of Computer Vision and Pattern Recognition.Piscataway,NJ:IEEE,2009:1746-1753.
    [6] Matt. Managing multiple players with kinect in C#[EB/OL].Matt Crouch-WebDeveloper(2012-06-10)[2014-05-15].http://mattcrouch.net/blog/2012/06/managing-multiple-players-with-kinect-in-c/.
    [7] Salvi D,Waggoner J,Temlyakov A,et al.A graph-based algorithm for multi-target tracking with occlusion[C]//Proceedings of the 2013 IEEE Workshop on Applications of Computer Vision.Washington,D.C.:IEEE,2013:489-496.
    [8] Choi W,Pantofaru C,Savarese S.Detecting and tracking people using an RGB-D camera via multiple detector fusion[C]//Proceedings of the 2011 IEEE International Conference on Computer Vision Workshops.Piscataway,NJ:IEEE,2011:1076-1083.
    [9] 张彦超,许宏丽. 遮挡目标的分片跟踪处理[J].中国图象图形学报,2014,19(1):92-100. Zhang Y C,Xu H L.Fragments tracking under occluded target[J].Journal of Image and Grapgics,2014,19(1):92-100(in Chinese).
    [10] 赵龙,肖军波. 一种改进的运动目标抗遮挡跟踪算法[J].北京航空航天大学学报,2013,39(4):517-520. Zhao L,Xiao J B.Improved algorithm of tracking moving objects under occlusions[J].Journal of Beijing University of Aeronautics and Astronautics,2013,39(4):517-520(in Chinese).
    [11] Qin B,Wan N C.PANOPTICON:person recognition and tracking through occlusion using extended Kalman[EB/OL].New York:Cornell University,2011[2014-05-30].http://www.cs.cornell.edu/Courses/cs4758/2011sp/final_projects/spring_2011/Qin_Wan.pdf.
    [12] Harvey E R,Ouellet J N,Echevarria J,et al.Computer vision application using the Kinect sensor for the identification and tracking of users interacting with a surface computing platform[C]//Proceedings of the 2012 Applied Vision and Robotics Workshop.Montreal:[s.n.],2012:74-86.
    [13] Barbosa I B,Cristani M,Del Bue A,et al.Re-identification with RGB-D sensors[C]//Proceedings of the 12th European Conference on Computer Vision.Heidelberg,Berlin:Springer,2012,7583:433-442.
    [14] Meng R,Isenhower J,Qin C,et al.Can smartphone sensors enhance kinect experience[C]//Proceedings of the thirteenth ACM international symposium on Mobile Ad Hoc Networking and Computing.New York:ACM,2012:265-266.
    [15] Ackad C,Clayphan A,Maldonado R M,et al.Seamless and continuous user identifica-tion for interactive tabletops using personal device handshaking and body tracking[C]//Proceedings of CHI'12 Extended Abstracts on Human Factors in Computing Systems.New York:ACM:2012:1775-1780.
    [16] 王炜,郭毓,俞信. 基于卡尔曼滤波的多区域关联运动目标跟踪[J].计算机应用,2012,32(11):3174-3177. Wang W,Guo Y,Yu X.Moving object tracking with related multi-regions based on Kalman filter[J].Journal of Computer Applications,2012,32(11):3174-3177(in Chinese).
    [17] 陈志敏,薄煜明,吴盘龙,等.基于自适应粒子群优化的新型粒子滤波在目标跟踪中的应用[J].控制与决策,2013,28(2):193-200. Chen Z M,Bo Y M,Wu P L,et al.Novel particle filter algorithm based on adaptive particle swarm optimization and its application to radar target tracking[J].Control and Decision,2013,28(2):193-200(in Chinese).
    [18] Shotton J,Fitzgibbon A,Cook M,et al.Real-time human pose recognition in parts from single depth images[C]//Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition.Piscataway,NJ:IEEE Computer Society,2011:1297-1304.
    [19] Salhi A,Jammoussi A Y.Object tracking system using camshift,meanshift and Kalman filter[J].World Academy of Science,Engineering and Technology,2012,64(6):674-679.
    [20] 史倩,吴开华. 区域生长的轮对图像分割[J].中国图象图形学报,2012,17(9):1122-1127. Shi Q,Wu K H.Image segmentation for wheel set measurement based on region growing[J].Journal of Image and Graphics,2012,17(9):1122-1127(in Chinese).

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出版历程
  • 收稿日期:  2014-04-28
  • 修回日期:  2014-07-31
  • 网络出版日期:  2015-05-20

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