Adaptive Motion Pattern Analysis for Machine Vision Based Moving Detection from UAV Aerial Images

  • A. F. M. Saifuddin Saif
  • Anton Satria Prabuwono
  • Zainal Rasyid Mahayuddin
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8237)


In order to detect moving object from UAV aerial images motion analysis has started to get attention in recent years where motion of the objects along with moving camera needs to be estimated and compensated by using detection algorithm. Moving object detection from UAV aerial images based on motion analysis involves modeling the pixel value changes over time. Moving object detection with moving cameras from UAV aerial images is still an unsolved issue due to not considering irregular motion of camera and improper estimation of noise, object motion changes and finally unfixed moving object direction. This paper presents a low complexity based motion analysis framework for moving object detection along with camera motion estimation by considering motion change of moving object and unfixed moving object direction. Based on the experimental results it is expected that proposed motion vector estimation performs well for both invariant motion and invariant moving object direction.


machine vision motion analysis moving object detection 


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Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  • A. F. M. Saifuddin Saif
    • 1
  • Anton Satria Prabuwono
    • 1
  • Zainal Rasyid Mahayuddin
    • 1
  1. 1.Faculty of Information Science and TechnologyUniversity Kebangsaan MalaysiaSelangorMalaysia

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