• DocumentCode
    174010
  • Title

    Motion analysis for moving object detection from UAV aerial images: A review

  • Author

    Saif, A. F. M. Saifuddin ; Prabuwono, Anton Satria ; Mahayuddin, Zainal Rasyid

  • Author_Institution
    Fac. of Inf. Sci. & Technol., Univ. Kebangsaan Malaysia, Bangi, Malaysia
  • fYear
    2014
  • fDate
    23-24 May 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Motion analysis for moving object from UAV aerial images is still an unsolved issue in computer vision research field due to fast abrupt motion of object and UAV, low resolution, noisy imagery, cluttered background, low contrast and small target size. The main reason for the inability to handle motion is the weakness of existing approaches for moving object detection. This paper presents critical analysis of the various methods used for motion analysis which states lack of relevancy with motion analysis along with some unsolved problems need to be solved for optimum performance of moving objects detection from UAV aerial images. The overall reviews proposed in this paper have been extensively studied in various research papers which can significantly contribute to computer vision research and can be potential for future development and direction for future research.
  • Keywords
    autonomous aerial vehicles; image motion analysis; image resolution; object detection; robot vision; UAV aerial image; cluttered background; computer vision research; low contrast; low resolution; motion analysis; moving object detection; noisy imagery; small target size; Computer vision; Computers; Conferences; Filtering; Image segmentation; Object segmentation; Vehicle detection; Computer vision; Motion; Moving object;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Informatics, Electronics & Vision (ICIEV), 2014 International Conference on
  • Conference_Location
    Dhaka
  • Print_ISBN
    978-1-4799-5179-6
  • Type

    conf

  • DOI
    10.1109/ICIEV.2014.6850753
  • Filename
    6850753