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2014 | 2 | 709--717
Tytuł artykułu

Movement Tracking in Terrain Conditions Accelerated with CUDA

Warianty tytułu
Języki publikacji
The paper presents a solution to the problem of movement tracking in images acquired from video cameras monitoring outside terrain. The solution is resistant to such adverse factors as: leaves fluttering, grass waving, smoke or fog, movement of clouds etc. The presented solution is based on well known image processing methods, nevertheless the key was the use of an appropriate conduct procedure. In order to obtain a real-time system the CUDA technology was involved.(original abstract)
Opis fizyczny
  • University of Technology
  • University of Technology
  • Aisaka, et al., Image processing apparatus and method, and program. United States Patent 8,577,137, November 5, 2013.
  • Andriluka M., Roth S., Schiele B., People-tracking-by-detection and people-detection-by-tracking, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2008, pp. 1-8.
  • Bramich D. M., Horne K., Albrow M. D., et al., Difference image analysis: extension to a spatially varying photometric scale factor and other considerations. Monthly Notices of the Royal Astronomical Society, Volume 428, Issue 3, 2013, p.2275-2289.
  • Bugeau A., Perez P., Detection and segmentation of moving objects in highly dynamic scenes, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2007, pp. 1-8.
  • Cavanagh P., Alvarez G. A., Tracking multiple targets with multifocal attention. Trends in Cognitive Sciences, 9, 2005, pp. 349-354.
  • Dasiopoulou S., Mezaris V., Kompatsiaris I., Papastathis V. K., Strintzis M. G., Knowledge-assisted semantic video object detection, IEEE Transactions on Circuits and Systems for Video Technology Vol. 15, (10) 2005, pp. 1210-1224.
  • d'Avossa D., Shulman G., Snyder A., Corbetta M., Attentional selection of moving objects by a serial process. Vision Research, 46, 2006, pp. 3403-3412.
  • Ericson J., Christensen J., Reallocating attention during multiple object tracking. Attention, Perception & Psychophysics, 74, 2012, pp. 831-840.
  • Heikkila M., Pietikainen M., A texture-based method for modeling the background and detecting moving objects, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 28, (4) 2006, pp. 657-662.
  • Hurych D., Zimmermann K., Svoboda T., Fast Learnable Object Tracking and Detection in High-resolution Omnidirectional Images. VISAPP, 2011, pp.521-530.
  • Jahn G., Wendt J., Lotze M., Papenmeier F., Huff M., Brain activation during spatial updating and attentive tracking of moving targets. Brain & Cognition, 78, 2012, pp. 105-113.
  • Jain R., Nagel H., On the analysis of accumulative difference pictures from image sequence of real world scenes. IEEE Trans. Pattern Anal. Machine Intell., Vol. 1 (2) 1979, pp. 206-214.
  • Meech K. J., Astronomical image processing - applications to ultrafaint imaging of small, moving, solar system bodies: comets and near-Earth-objects. Intelligent Processing and Manufacturing of Materials, Vol. 1, 1999.
  • NVIDIA corporation, CUDA C Best Practices Guide, July 2013, DG-05603-001_v5.5:
  • NVIDIA corporation, CUDA C Programming Guide, July 2013, PG-02829-001_v5.5:
  • NVIDIA corporation, NVIDIA Performance Primitives (NPP), Version 4.0, 2014:
  • Patwardhan K. A., Sapiro G., Morellas V., Robust foreground detection in video using pixel layers, IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 30, (4) 2008, pp.746-751.
  • Shih F. Y., Image Processing and Mathematical Morphology: Fundamentals and Applications, CRC Press, 2009.
  • Shih F. Y., Image Processing and Pattern Recognition: Fundamentals and Techniques, IEEE Press, 2010.
  • Sumitomo H., Monitoring camera system, monitoring camera control device and monitoring program recorded in recording medium. US 20030185419 A1, 2003.
  • Wang Y., Doherty J. F., Van Dyck R. E., Moving object tracking in video. In proceedings of 29th Applied Imagery Pattern Recognition Workshop, 2000, pp. 95-101.
  • Yang Z., Zhu Y., and Pu Y., Parallel Image Processing Based on CUDA. International Conference on Computer Science and Software Engineering 2008, Vol. 3, pp. 198-201.
  • Yilmaz A., Javed O., Shah M., Object Tracking: A Survey. ACM Computing Surveys, Vol. 38, No. 4, Article 13, Publication date: December 2006.
  • Zhang G., Jia J., Xiong W., Tien-tsin Wong, Pheng-ann Heng, Hujun Bao: Moving object extraction with a hand-held camera, IEEE International Conference on Computer Vision, 2007, pp. 1-8.
  • Żorski W., Application of the Hough Technique for Irregular Pattern Recognition to a Robot Monitoring System. Proceedings of the 11th IEEE International Conference MMAR 2005, pp.725-730.
  • Żorski W., Murawski K., Irregular patterns learning and matching in an example vision system. Proceedings of the 18th IEEE International Conference MMAR 2013, pp.645-649.
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