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Object Motion estimation using edge detection and background subtraction with block matching algorithm

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Konferencja
The Second International Conference on Research in Intelligent and Computing in Engineering
Języki publikacji
EN
Abstrakty
EN
Detection of an object motion is the growing research field of image processing which revealed the several applications. Several techniques (including the proposed one) are discussed so far in literatures. In this paper the edge detection and frame differencing also known as background subtraction technique with block matching algorithm has been implemented to detect the object motion. The object taken for experimentation is arbitrary having no fixed shape and size. The MATLAB output result showing the practicability of the both algorithms.
Słowa kluczowe
Rocznik
Tom
Strony
345--348
Opis fizyczny
Bibliogr. 9 poz., rys.
Twórcy
  • Departtent of Electronics and Cottunication Engineering, SOET, HNB Garhwal University, Srinagar Garhwal
  • Departtent of Electronics and Cottunication Engineering, SOET, HNB Garhwal University, Srinagar Garhwal
  • Departtent of Electronics and Cottunication Engineering, SOET, HNB Garhwal University, Srinagar Garhwal
autor
  • Departtent of Electronics and Cottunication Engineering, SOET, HNB Garhwal University, Srinagar Garhwal
Bibliografia
  • 1. Yilmaz, A., Javed, O., And Shah, M. 2006. Object tracking: Asurvey. ACM Comput. Surv. 38, 4, Article 13 (Dec. 2006)
  • 2. Jain, R. And Nagel, H. 1979. On the analysis of accumulative difference pictures from image sequences of real world scenes. IEEE Trans. Patt. Analy. Mach. Intell. 1, 2, 206-214.
  • 3. Comaniciu, D., Ramesh, V., And Meer, P. 2003. Kernel-based object tracking. IEEE Trans. Patt. Analy. Mach. Intell. 25, 564-575.
  • 4. Bar-Shalom, Y. And Foreman, T. 1988. Tracking and Data Association.Academic Press Inc
  • 5. L. Wang, W. Hu, And T. Tan. Face tracking using motion guided dynamic template matching. In ACCV, 2002.
  • 6. D. Murray And A. Basu, “Motion tracking with an active camera,” IEEE Trans. Pattern Anal. Machine Intell., vol. 16, pp. 449-459, May 1994.
  • 7. Rafael C. Gonzalez, Richard E. Woods. (2002): Digital Image processing, Second Edition. Prentice Hall International
  • 8. Edward R. Dougherty (1993) Mathematical Morphology in Image Processing. CRC Press.
  • 9. A. K Jain, digital image processing, second edition,Tata mcgraw hill.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-ff43ed9f-b26a-4ecc-8848-f8ad0fad8496
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