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Tytuł artykułu

Zastosowanie stereowizji we wspomaganiu operatorów monitoringu wizyjnego

Identyfikatory
Warianty tytułu
EN
Supporting stereovision tool for visual monitoring operators
Konferencja
IEEE SPA’ 2013 Signal Processing : Algorithms, Architectures, Arrangements, and Applications (17 ; 26-28.10. 2013 ; Poznań, Poland)
Języki publikacji
PL
Abstrakty
PL
W artykule przedstawiono propozycję automatycznego systemu wspierającego pracę operatorów monitoringu. Jest on oparty na opcjonalnym narzędziu stereowizyjnym, które pozwala utrzymywać koncentrację operatora w sytuacjach wymagających rozpoznawania przez niego zagrożeń. Opracowana metoda generowania wrażeń trójwymiarowych polega na sterowaniu postrzeganą głębią dla sekwencji obrazów dwuwymiarowych (2D) lub obrazów trójwymiarowych (3D). Metoda ta może być zastosowana w systemach monitoringu 2D i 3D. Przeprowadzono eksperymenty dotyczące postrzegania jakości całego obrazu i postrzeganego zakresu głębi na oryginalnych obrazach 2D, obrazach po konwersji 2D do 3D, oryginalnych obrazach 3D i przetworzonych obrazach 3D. Zaproponowana metoda znacząco zwiększa postrzeganą głębię przy zachowaniu akceptowalnego poziomu jakości całego obrazu przy i braku zniekształceń w obszarach obserwowanych obiektów, co poprawia rozpoznawanie zagrożeń.
EN
In this paper an automatic supporting system for monitoring operators is proposed. It is based on an optional stereovision tool, which allows to sustain the operator’s concentration in situations demanding the manual threat recognition and is based on generation of 3D impressions with the control of perception of the object depth in 2D and 3D video streams. The object depth control is considered as well in 2D monitoring systems with the novel 2D to 3D conversion scheme as in the inherently 3D monitoring systems. The experiments for examination of the overall image quality and the perceived scene depth, in order to enhance the perceived depth impressions, were conducted on: original 2D images, images after 2D to 3D conversion, original 3D images, and processed 3D images. It results from the conducted experiments that the proposed method significantly enhances the perceived scene depth range maintaining an acceptable overall image quality and no visible distortions within regions of the observed monitoring scene objects, thus it improves recognition of threats.
Rocznik
Strony
9--13
Opis fizyczny
Bibliogr. 23 poz., il.
Twórcy
autor
  • Politechnika Poznańska, Katedra Sterowania i Inżynierii Systemów
  • Politechnika Poznańska, Katedra Sterowania i Inżynierii Systemów
autor
  • Politechnika Poznańska, Katedra Sterowania i Inżynierii Systemów
Bibliografia
  • [1] Bosch, IVA 5.50 Intelligent Video Analysis, Data Sheet, http://stna.resource.bosch.com/documents/Data_sheet_enUS_1559037707.pdf, dostęp: 03.12.2012.
  • [2] Dąbrowski A. i in., Biometric features analysis component based on video and image information, D7.3, European Seventh Framework Programme, FP7-218086-Collaborative Project, 2010.
  • [3] C etnarowicz D. i in., Creation of event model in order to detect dangerous events, D7.2, European Seventh Framework Programme, FP7-218086-Collaborative Project, The INDECT Consortium, 2012.
  • [4] Zezhi Chen, Ellis T., Velastin S. A., Vehicle detection, tracking and classification in urban traffic, 15th International IEEE Conference on Intelligent Transportation Systems (ITSC), 2012, str. 951–956.
  • [5] Yuexian Zou i in., A Robust Traffic Parameter Extraction Approach for Surveillance System at Urban Intersection, 2nd International Congress on Image and Signal Processing (CISP), 2009, str. 1–5.
  • [6] Jianyu Zhao i in., Research and implementation of license plate recognition technology, 24th Chinese Control and Decision Conference (CCDC), 2012, str. 3768–3773.
  • [7] Jinglong Wu i in., Effect of Camera Angle on Precision of Parameters for Traffic Accident in Video Detection, Third International Conference on Digital Manufacturing and Automation (ICDMA), 2012, str. 347–350.
  • [8] Rankin S. i in., CCTV Operator Performance Benchmarking, IEEE International Carnahan Conference on Security Technology (ICCST), 2012, str. 325–330.
  • [9] Quan Huynh-Thu, Barkowsky M., Le Callet P., The Importance of Visual Attention in Improving the 3D-TV Viewing Experience: Overview and New Perspectives, IEEE Transactions on Broadcasting, Volume: 57, Issue: 2, Part: 2, 2011, str. 421–431.
  • [10] Wei-Song Lin, Ming-Kang Chuang, Tien G., Autonomous mobile robot navigation using stereovision, IEEE International Conference on Mechatronics (IC M), 2005, str. 410–415.
  • [11] Bota S., Nedevschi S., Konig M., A framework for object detection, tracking and classification in urban traffic scenarios using stereovision, IEEE 5th International Conference on Intelligent Computer Communication and Processing (ICCP ), 2009, str. 153–156.
  • [12] Wang Bihao, Fremont Vincent, Fast road detection from color images, IEEE Intelligent Vehicles Symposium (IV), 2013, str. 1209–1214.
  • [13] Urey H. i in., State of the Art in Stereoscopic and Autostereoscopic Displays, Proceedings of the IEEE, Volume: 99, Issue: 4, 2011, str. 540–555.
  • [14] Garcia C. i in., HESPERI A: homeland security technologies for the security in public spaces and infrastructures, 2007 41st Annual IEEE International Carnahan Conference on Security Technology, 2007, str. 221–226.
  • [15] Balcerek J., Konieczka A., Dąbrowski A., Stankiewicz M., Krzykowska A., Brightness Correction and Stereovision Impression Based Methods of Perceived Quality Improvement of CCT V Video Sequences. Proc. of 4th International Conference MCSS 2011, June 2-3, Krakow, Poland. Springer. Communications in Computer and Information Science, 2011, str. 64−72.
  • [16] Balcerek J., Dąbrowski A., Konieczka A., Simple efficient techniques for creating effective 3D impressions from 2D original images, Proc. of SIGNAL PROCESSING NT AV/SPA’ 2008, IEEE Poland Section Chapters Signal Processing, Circuits and Systems, Poznań, Poland, 25–27th September 2008, str. 219–224.
  • [17] Balcerek J. i in., Approach to evoking stereovision impressions from images, PRZEGLĄD ELEKTROTECHNICZNY (Electrical Review), nr 6/2012, str. 17–23.
  • [18] Balcerek J. i in., Binary depth map generation and color component hole filling for 3D effects in monitoring systems, Proc. of SIGNAL PROCESSING SPA’ 2011, IEEE Poland Section Chapters Signal Processing, Circuits and Systems, Poznań, Poland, 29–30 September 2011, str. 138–143.
  • [19] Dąbrowski A., Balcerek J, Konieczka A., An Approach to Adjustment and Reduction of the Number of Controlling Parameters for Simple 2D to 3D Image Conversion Schemes, Proc. of NEW TRENDS IN AUDIO AND VIDEO/SIGNAL PROCESSING: ALGORITHMS, ARCHITECTURES, ARRANGEMENTS AND APPLIC ATIONS NT AV/SPA’ 2012, IEEE Poland Section Chapters Signal Processing, Circuits and Systems, Łódź, Poland, 27–29 September 2012, str. 227–231.
  • [20] Liang Z., Tam W. J., Stereoscopic Image Generation Based on Depth Images for 3D TV, IEEE Transactions on Broadcasting, Volume: 51, Issue: 2, 2005, str. 191–199.
  • [21] Tam W.J., Liang Zhang, 3D-TV Content Generation: 2D-to-3D Conversion, 2006 IEEE International Conference on Multimedia and Expo, 9-12 July 2006, str. 1869–1872.
  • [22] Yu-Lin Chang i in., Depth Map Generation for 2D-to-3D Conversion by Short-Term Motion Assisted Color Segmentation, 2007 IEEE International Conference on Multimedia and Expo, 2007, str. 1958–1961.
  • [23] Balcerek J., Dąbrowski A., Konieczka A., Stereovision option for monitoring systems – a method based on perception control of depth, Proc. of SIGNAL PROCESSING: ALGORITHMS, ARCHITECTURES, ARRANGEMENTS AND APPLICATIONS SPA’ 2013, IEEE Poland Section Chapters Signal Processing, Circuits and Systems, Poznań, Poland, 26–28 September 2013, str. 226–230.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-9393f34f-4c3f-428f-9838-27171c038581
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