Tracking persons using a network of RGBD cameras
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Xenophon Zabulis | Panayotis Koutlemanis | George Galanakis | Spiros Paparoulis | Vassilis Kouroumalis
[1] L. Davis,et al. M2Tracker: A Multi-View Approach to Segmenting and Tracking People in a Cluttered Scene , 2003, International Journal of Computer Vision.
[2] Kaj Grønbæk,et al. Interactive spatial multimedia for communication of art in the physical museum space , 2008, ACM Multimedia.
[3] Henry Fuchs,et al. Reducing interference between multiple structured light depth sensors using motion , 2012, 2012 IEEE Virtual Reality Workshops (VRW).
[4] Ramakant Nevatia,et al. CLEAR'07 Evaluation of USC Human Tracking System for Surveillance Videos , 2007, CLEAR.
[5] Antonis A. Argyros,et al. Multicamera tracking of multiple humans based on colored visual hulls , 2013, 2013 IEEE 18th Conference on Emerging Technologies & Factory Automation (ETFA).
[6] Pascal Fua,et al. Multicamera People Tracking with a Probabilistic Occupancy Map , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[7] Rainer Stiefelhagen,et al. Real-Time GPU-Based Voxel Carving with Systematic Occlusion Handling , 2009, DAGM-Symposium.
[8] Kai Oliver Arras,et al. People tracking in RGB-D data with on-line boosted target models , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[9] Marcus A. Magnor,et al. Markerless Motion Capture using multiple Color-Depth Sensors , 2011, VMV.
[10] Larry S. Davis,et al. M2Tracker: A Multi-view Approach to Segmenting and Tracking People in a Cluttered Scene Using Region-Based Stereo , 2002, ECCV.
[11] Antonis A. Argyros,et al. Multicamera human detection and tracking supporting natural interaction with large-scale displays , 2012, Machine Vision and Applications.
[12] Manolis I. A. Lourakis,et al. Real-Time Tracking of Multiple Skin-Colored Objects with a Possibly Moving Camera , 2004, ECCV.
[13] J. Edmonds. Paths, Trees, and Flowers , 1965, Canadian Journal of Mathematics.
[14] Nassir Navab,et al. Efficient visual hull computation for real-time 3D reconstruction using CUDA , 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.
[15] Peter H. N. de With,et al. Employing a RGB-D sensor for real-time tracking of humans across multiple re-entries in a smart environment , 2012, IEEE Transactions on Consumer Electronics.
[16] David Kim,et al. Shake'n'sense: reducing interference for overlapping structured light depth cameras , 2012, CHI.
[17] Dariu Gavrila,et al. Multi-person Tracking with Overlapping Cameras in Complex, Dynamic Environments , 2009, BMVC.
[18] Emilio J. Almazan,et al. Tracking People across Multiple Non-overlapping RGB-D Sensors , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops.
[19] Andrew W. Fitzgibbon,et al. Real-time human pose recognition in parts from single depth images , 2011, CVPR 2011.
[20] Trevor Darrell,et al. Integrated Person Tracking Using Stereo, Color, and Pattern Detection , 2000, International Journal of Computer Vision.
[21] Volkan Cevher,et al. Compressed sensing for multi-view tracking and 3-D voxel reconstruction , 2008, 2008 15th IEEE International Conference on Image Processing.
[22] Mubarak Shah,et al. A Multiview Approach to Tracking People in Crowded Scenes Using a Planar Homography Constraint , 2006, ECCV.
[23] Larry S. Davis,et al. UMD_VDT, an Integration of Detection and Tracking Methods for Multiple Human Tracking , 2007, CLEAR.
[24] Flavia Sparacino. Scenographies of the past and museums of the future: from the wunderkammer to body-driven interactive narrative spaces , 2004, MULTIMEDIA '04.