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Tytuł artykułu

Video based road traffic detection and analysis

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Konferencja
International Conference on Computer Vision and Graphics ICCVG 2006 (25-27.09.2006 ; Warsaw, Poland)
Języki publikacji
EN
Abstrakty
EN
In this article an autonomous vehicle detection algorithm is presented. The described technique is capable of accurate vehicle detection, can work with different cameras and is fairly immune to illumination changes. It is based on the idea of an adaptive background model and the background subtraction method for detecting motion. The application's performance tests ware conducted using real life video sequences and gave satisfactory results.
Rocznik
Strony
505--514
Opis fizyczny
Bibliogr. 8 poz., il., tab., wykr.
Twórcy
autor
  • Silesian University of Technology, Department of Automatic Control, Akademicka 16 Str., 44-100 Gliwice, Poland
Bibliografia
  • [1] Chen S. C., Sista S., Shyu M. L., Kashyap R. L.: An indexing and searching structure for multimedia database systems. IS&T/SPIE conference on Storage and Retrieval for Media Databases 2000, San Jose, CA, USA, 262-270, 2000.
  • [2] Prati A., Mikic I., Grana C., Trivedi M. M.: Shadow detection algorithms for traffic flow analysis: a comparative study Intelligent Transportation Systems, 2001. Proc. 2001 IEEE 25-29 Aug., 340-345, 2001.
  • [3] Agarwal N., Andrisevic N., Vuppla K., Stachowicz M. S., Burlev A., Seleznev K.: Vehicle detecting and tracking in video for incident detection. Published by Minnesota Department of Transportation, 2003.
  • [4] Chengcui Zhang, Shu-Ching Chen, Mei-Ling Shyu, Srinivas Peeta: Adaptive background learning for vehicle detection and spatio-temporal tracking, ICICS-PCM, 2003.
  • [5] Gowrisankar H., Sharad C. N.: Motion detection and representing moving objects from video, 2003.
  • [6] Melo J., Naftel A., Bernardino A., Santos-Victor J.: Viewpoint independent detection of vehicle trajectories and lane geometry from uncalibrated traffic surveillance cameras, ICIAR (2), 454-462, 2004.
  • [7] Cheung S. C., Kamath C.: Robust techniques for background subtraction in urban traffic video, Proc. of Electronic Imaging: Visual Communications and Image Processing 2004 (Part One), January 20-22, San Jose, California. Bellingham, WA:SPIE. (5308):881-892, 2004.
  • [8] Gepperth A., Edelbrunner J., Bucher T.: Real-time detection and classification of cars in video sequences,Intelligent Vehicles Symposium, 2005. Proceedings. IEEE, 625-631, 2005.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BWA1-0026-0011
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