• Computer Science
  • Published 2008

FPGA-Based Real-Time Video-Object Segmentation with Optimization Schemes

  title={FPGA-Based Real-Time Video-Object Segmentation with Optimization Schemes},
  author={Alaa Hamdy},
This paper presents the implementation of a segmentation process to extract the moving objects from image sequence taken from a static camera used for real time vision tasks. Various aspects of the underlying motion detection algorithm are explored and modifications are made with potential improvements of extraction results and hardware efficiency. The whole system is implemented on a single low cost FPGA chip, capable of real-time segmentation at a very high frame rate that reaches to 1130 fps… CONTINUE READING

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Publications referenced by this paper.

Real-time implementation of an optical flow algorithm

  • Object recognition supported by user interaction for service robots
  • 2002

Real-time image segmentation for action recognition

  • 1999 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM 1999). Conference Proceedings (Cat. No.99CH36368)
  • 1999

Using adaptive tracking to classify and monitor activities in a site

  • Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231)
  • 1998

Fast and accurate motion estimation using orientation tensors and parametric motion models ”

Joseph Poh.
  • " Smart camera – an intelligent vision sensor "