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People counting vision system based on ARM processor programmed using Simulink environment

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Warianty tytułu
PL
System wizyjny służący do zliczania osób oparty na procesorze ARM programowanym w środowisku Simulink
Języki publikacji
EN
Abstrakty
EN
In this paper an analysis and implementation of the algorithm for detecting and counting people in video surveillance systems is presented. First, we recapitulate methods which can be used for people counting. Next, we concentrate on our MATLAB/Simulink model for detecting people, who are passing under a camera positioned vertically down at the entrance to the monitored area (e.g., a building). The prepared algorithm takes the direction of the transition of a person into account. This model was implemented in the Raspberry Pi microcomputer based on the ARM1176JZF-S processor making the entire system to be autonomous.
PL
Artykuł przedstawia analizę i implementację algorytmu do wykrywania i zliczania osób w sekwencji wideo pochodzącej z systemu monitoringu wizyjnego. W pierwszej części artykułu dokonano przeglądu stosowanych metod zliczania osób. Następnie skoncentrowano się na przygotowanym w środowisku MATLAB/Simulink modelu, który umożliwia detekcję i zliczanie osób przechodzących bezpośrednio pod kamerą umieszczoną pionowo w dół przy wejściu do monitorowanego obszaru (np. budynku). Opracowany algorytm uwzględnia kierunek przejścia danej osoby. Powyższy model zaimplementowany został na mikrokomputerze Raspberry Pi z procesorem ARM 1176JZF-S, czyniąc całość systemem autonomicznym.
Rocznik
Strony
55--59
Opis fizyczny
Bibliogr. 23 poz., wykr.
Twórcy
autor
  • Poznan University of Technology, Chair of Control and System Engineering Division of Signal Processing and Electronic Systems, Poznan
  • Poznan University of Technology, Chair of Control and System Engineering Division of Signal Processing and Electronic Systems, Poznan
  • Poznan University of Technology, Chair of Control and System Engineering Division of Signal Processing and Electronic Systems, Poznan
autor
  • Poznan University of Technology, Chair of Control and System Engineering Division of Signal Processing and Electronic Systems, Poznan
Bibliografia
  • [1] Chmielewska A., Pawłowski P., Dąbrowski A.: Zastosowanie metod przetwarzania sekwencji wideo do wspomagania monitoringu miejskiego (Application of video sequence processing methods to support the CCTV), Teoria i zastosowanie informatyki (The theory and application of computer science), vol. 9, no. 3: 65–83, 2011.
  • [2] Balcerek J. et al.: Recognition of threats in urban areas by means of the analysis of video sequences, MCSS 2010, Multimedia Communications, Services and Security 2010: 41–48, 2010.
  • [3] Parzych M. et al.: Automatic people density maps generation with use of movement detection analysis, HSI 2013, 6th International Conference on Human System Interaction: 26–31, 2013.
  • [4] Marciniak T. et al.: Influence of low resolution of images on reliability of face detection and recognition, Multimedia Tools and Applications, DOI : 10.1007/s11042-013-1568-8, 1-19, 2013.
  • [5] Marciniak T. et al.: Influence of Pose Angle on Face Recognition from Very Low Resolution Images, IEEE NT AV/SPA 2012, IEEE New Trends in Audio and Video/Signal Processing Algorithms, Architectures, Arrangements and Applications: 177–181, 2012.
  • [6] Marciniak T. et al.: Real-Time Bi-Directional People Counting Using Video Blob Analysis, IEEE NT AV/SPA 2012, IEEE New Trends in Audio and Video/Signal Processing Algorithms, Architectures, Arrangements and Applications: 161–166, 2012.
  • [7] Chmielewska A. et al.: System automatycznego liczenia obiektów w ruchu miejskim (The automatic counting of objects in urban area), Teoria i zastosowanie informatyki (The theory and application of computer science), vol. 10, no. 2: 83–93, 2012.
  • [8] Description of Computer Vision System Toolbox from Matlab/Simulink 2013b environment (available in 2014): www.mathworks.com/products/computer-vision.
  • [9] Description of Raspberry Pi microcomputer (available in 2014):www.raspberrypi.org.
  • [10] Marciniak T. et al.: Fast prototyping of automatic real-time event detection facilities for video monitoring using DSP module, 20th International Conference Mixed Design of Integrated Circuits and Systems: 473–478, 2013.
  • [11] Chmielewska A., Marciniak T., Dabrowski A.: Szybkie modelowanie algorytmów przetwarzania sekwencji wideo w systemie z procesorem sygnałowym (Fast prototyping of video processing algorithms in a digital signal procesor system), XII Krajowa Konferencja Elektroniki (National Conference on Electronics): 864–869, 2013.
  • [12] Chmielewska A. et al.: Fast Prototyping for Video Monitoring Systems with the Use of DSP Module, International Journal of Electronics and Telecommunications, Volume 59, Issue 4: 375–381, 2013.
  • [13] Chmielewska A. et al.: Comparison of NI LabVIE W and NI Vision Builder AI environments in fast prototyping of video processing algorithms for CCTV using smart camera, Electronics – constructions, technologies, applications, 5/2011: 72–76, 2011.
  • [14] Description of Simulink Support Package for Raspberry Pi Hardware (available at 2014): www.mathworks.com/help/simulink/raspberry-pi.html.
  • [15] Masoud O., Papanikolopoulos N. P.: A Novel Method for Tracking and Counting Pedestrians in Real-Time Using a Single Camera, IEEE Transactions on Vehicular Technology, vol. 50, no. 5: 1267- 1278, 2001.
  • [16] Ye W., Zhong Z.: Robust People Counting in Crowded Environment, Proceedings of the IEEE International Conference on Robotics and Biomimetics, China: 1133–1137, 2007.
  • [17] Thou-Ho C., Tsong-Yi C., Zhi-Xian C.: An Intelligent People-Flow Counting Method for Passing Through a Gate, 2006 IEEE Conference on Robotics, Automation and Mechatronics: 1–6, 2006.
  • [18] Honglian M., Hunchuan L., Mingxiu Z.: A Real-time Effective System for Tracking Passing People Using a Single Camera, Proceedings of the 7th World Congress on Intelligent Control and Automation: 6173–6177, 2008.
  • [19] Thou-Ho C. et. al.: People Counting System for Getting In/Out of a Bus Based on Video Processing, Eight International Conference on Intelligent Systems Design and Applications: 565–569, 2008.
  • [20] Breitenstein M. D., et. al.: Online Multiperson Tracking-by-Detection from a Single, Uncalibrated Camera, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 33, no. 9: 1820–1833, 2011.
  • [21] Stahlschmidt C., Gavriilidis A., Kummert A.: Density Measurements from a Top View Position using a Time-of-Flight Camera, Proceedings of the 8th International Workshop on Multidimensional Systems: 1–6, 2013.
  • [22] Description of D-Link camera (available in 2014): http://mydlink.dlink.com/products/DCS-930L.
  • [23] Malina A., Piotrowski R., B. Sc. thesis (unpublished): Video system for people counting, supervisor: Marciniak T., Poznan, 2014.
Typ dokumentu
Bibliografia
Identyfikator YADDA
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