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Tytuł artykułu

Hardware-software vision system for moving people counting based on 3D information

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EN
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EN
The article presents a hardware-software system for people counting based on analysis of 3D information. It consists of a 3D video source (3D camera), an FPGA evaluation board and a PC computer. The computationaly demanding disparity map calculation and median filtering are realized in hardware. The software part is responsible for people segmentation, tracking and counting. The data between system nodes is transferred via Ethernet. In the paper the system architecture, proposed algorithms and obtained results are presented.
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  • AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Kraków
  • AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Kraków
Bibliografia
  • [1] B. Antic, D. Letic, D. Culibrk, and V. Crnojevic, K-means based segmentation for real-time zenithal people counting, In Image Processing (ICIP), 2009 16th IEEE International Conference on, pp. 2565-2568, 2009
  • [2] A. Gardel Vicente, I. Bravo Munoz, P.J. Molina, J.L.L. Galilea, Embedded vision modules for tracking and counting people, Instrumentation and Measurement, IEEE Transactions on, vol. 58, no. 9, pp. 3004-3011, 2009
  • [3] L. Gasparini, M. Gottardi, N. Massari, D. Petri, R. Manduchi, FPGA implementation of a people counter for an ultra-low-power wireless camera network node, In Ph.D. Research in Microelectronics and Electronics (PRIME), 2011 7th Conference on, pp. 169-172, 2011
  • [4] M. Komorkiewicz, M. Gorgo´n, Reconfigurable image acquisition and transmission module for video surveillance systems, In XVI Scientfic Conference on Reconfigurable Computing and Systems, 2013
  • [5] T. Kryjak, M. Komorkiewicz, Real-time FPGA implementation of disparity map calculation for a 3D video stream, In XVI Scientfic Conference on Reconfigurable Computing and Systems, 2013
  • [6] S. Longfield, M.L. Chang, A parameterized stereo vision core for FPGAs, In Field Programmable Custom Computing Machines, 2009. FCCM ’09, 17th IEEE Symposium on, pp. 263-266, 2009
  • [7] Y. Miyajima, T. Maruyama, A real-time stereo vision system with FPGA, volume 2778 of Lecture Notes in Computer Science, pp. 448-457, 2003
  • [8] OpenCV. Open Source Computer Vision, website: http://opencv.org/ (last access: 16.11.2013), 2013
  • [9] Z. Qiuyu, T. Li, J. Yiping, D. Wei-Jun, A novel approach of counting people based on stereovision and DSP., In Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on, vol. 1, pp. 81-84, 2010
  • [10] R. Tadeusiewicz, Artificial intelligence applied to the intelligent buildings. In 6th international congress on Intelligent Building Systems, pp. 1-11, 2011
  • [11] F. Tombari, F. Gori, L. Di Stefano, Evaluation of stereo algorithms for 3D object recognition, In Computer Vision Workshops (ICCV Workshops), 2011 IEEE International Conference on, pp. 990-997, 2011
  • [12] J. Was, Egress modeling through cellular automata based multi-agent systems, In NgocThanh Nguyen, editor, Transactions on Computational Collective Intelligence VII, volume 7270 of Lecture Notes in Computer Science, Springer Berlin Heidelberg, pp. 222-235, 2012
  • [13] X. Zhang, J. Yan, S. Feng, Z. Lei, D. Yi, S.Z.Li, Water filling: Unsupervised people counting via vertical kinect sensor, In Advanced Video and Signal-Based Surveillance (AVSS), 2012 IEEE Ninth International Conference on, pp. 215-220, 2012
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Bibliografia
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bwmeta1.element.baztech-116501a6-e33a-4356-92f1-88b6088de994
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