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Ground Truth Generating Tool for Traffic Video Detector

Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper presents an application for generating ground truth data for the purposes of video detection and justifies its use in systems which analyze road traffic videos. The usefulness of described application in the development of video detection software is presented - especially during scene configuration and comparative analysis of video detection results versus ground truth data. The latter is possible due to simplicity of the result text files generated in a similar way both by the presented application and by the video detection algorithm. Two exemplary applications of the tool designed to generate ground truth data are presented, together with a discussion of their construction, functionality and abilities.
Twórcy
autor
  • AGH University of Science and Technology, Faculty of Computer Science, Electronics and Telecommunications, Department of Telecommunications
autor
  • AGH University of Science and Technology, Faculty of Computer Science, Electronics and Telecommunications, Department of Telecommunications
autor
  • AGH University of Science and Technology, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, Department of Automatics and Biomedical Engineering
autor
  • AGH University of Science and Technology, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, Department of Automatics and Biomedical Engineering
autor
  • AGH University of Science and Technology, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, Department of Automatics and Biomedical Engineering
Bibliografia
  • [1] -, (2015). Autoscope, http://www.imagesensing.com/products/video-detection.html (last access: March 2015)
  • [2] -, (2012). Food Hitech Projects, http://www.hitech-projects.com/euprojects (last access: July 2012)
  • [3] -, (2015). INSIGMA Project, AGH, Krakow, 2012, http://insigma.kt.agh.edu.pl (last access: March 2015)
  • [4] -, (2015). MATLAB and Simulink for Technical Computing, MathWorks, http://www.mathworks.com (last access: March 2015)
  • [5] -, (2009). CERTH-ITI Concept extraction, http://vitalas.ercim.eu/images/stories/pdf/web_cert_iti.pdf (last access: March 2015)
  • [6] -, (2010). Video Image Annotation tool (VIA) from CERTH-ITI http://sourceforge.net/projects/via-tool/ (last access: March 2015)
  • [7] Ambardekar, A., Nicolescu, M., Dascalu, S. (2009). Ground Truth Verification Tool (GTVT) for Video Surveillance Systems, Advances in Computer-Human Interactions ACHI ’09. Second International Conferences on, 354-359
  • [8] Bonneson, J., Abbas, M. (2002). Intersection Video Detection Manual, Report FHWA/TX-03/4285-2, Texas Transportation Institute, The Texas A&M University System, College Station, Texas 77843-3135
  • [9] Doermann, D., Mihalcik, D. (2000). Tools and techniques for video performance evaluation, Pattern Recognition, 15th International Conference on, 4, 167-170
  • [10] Fisher, R.B. (2004). PETS04 Surveillance Ground Truth Data Set, Sixth IEEE Int. Work. on Performance Evaluation of Tracking and Surveillance (PETS04), 1-5
  • [11] Glowacz, A., Mikrut, Z., Pawlik, P. (2012). Video Detection Algorithm Using an Optical Flow Calculation Method, In: A. Dziech and A. Czyżewski (Eds.):Proc. MCSS 2012, CCIS 287, Springer-Verlag Berlin Heidelberg, 118-129
  • [12] Jaynes, C., Webb, S., Steele, R., Xiong, Q. (2002). An Open Development Environment for Evaluation of Video Surveillance Systems, Metaverse Lab, Dept. of Computer Science, University of Kentucky
  • [13] Lin, C. Y., Tseng, B. L., Smith, J. R. (2003, July). VideoAnnEx: IBM MPEG-7 annotation tool for multimedia indexing and concept learning. In IEEE International Conference on Multimedia and Expo (pp. 1-2)
  • [14] Maggio, E., Cavallaro, A. (2011). Video Tracking: Theory and Practice, Wiley and Sons
  • [15] Medina, J.C., Benekohal, R.F., Chitturi, M. (2009). Evaluation of video detection systems, Volume 1: Effects of configuration changes in the performance of video detection systems Volume 2: Effects of illumination conditions in the performance of video detection systems. Research Reports ICT-08-024 2008, ICT-09-046 2009, University of Illinois at Urbana-Champaign
  • [16] Mihalcik, D., Doermann, D., Ahuja, R. (2011). ViPER: Video Performance Evaluation Resource, University of Maryland, Institute for Advanced Computer Studies, Language and Media Processing Laboratory, http://lampsrv02.umiacs.umd.edu/projdb/project.php?id=18 (last access: March 2015)
  • [17] Mihalcik, D., Doermann, D. (2003). The design and implementation of ViPER. University of Maryland
  • [18] Rhodes, A.E., Smaglik, J., Bullock, D.M. (2006). Vendor Comparison of Video Detection Systems, Publication FHWA/IN/JTRP-2005/30. Joint Transportation Research Program, Department of Transportation at Purdue University, West Lafayette, Indiana
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-70955a3c-c983-4e0c-992f-ec72c7886424
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