Hardware Implementation for Motion Estimation in Real Time Scenario

Abstract

 Motion estimation (ME) is a multistep process that involves not one, but a combination of techniques, such as motion starting point, motion search patterns, and adaptive control to limit the search, avoidance of search stationary regions, etc. The collective efficiency of these techniques is what makes a ME algorithm robust and efficient. This paper proposes a ME algorithm that is an embodiment of several effective ideas for finding the most accurate motion vectors (MVs) with the aim to maximize the encoding speed as well as the visual quality. Here we developed a hardware approach in which a frame of pictures are captured and sent via serial port to the system. With the help of MATLAB we are going to find out whether any motion is there in the frames. Once any motion is been estimated that signal is sent to the hardware it will give us appropriate sign accordingly. This system is developed on two platforms (hardware as well software).

Authors and Affiliations

Chandrakala B*

Keywords

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  • EP ID EP158669
  • DOI -
  • Views 95
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How To Cite

Chandrakala B* (30). Hardware Implementation for Motion Estimation in Real Time Scenario. International Journal of Engineering Sciences & Research Technology, 3(11), 583-586. https://europub.co.uk/articles/-A-158669