Single Object Recognition and Motion Tracking with Fast Multi-Frame Processing Algorithm

نویسندگان

  • Zhen Gao
  • Ishwar Singh
چکیده

This work is focused on the experimental research of image processing for fast, accurate and efficient pattern recognition and motion tracking. To deal with the images and videos in real time as human beings is paramount about robot research if the robot wants to interact with the external environment in a humanoid way. In this research, object recognition and motion tracking are investigated simultaneously. An efficient and straightforward algorithm is developed to identify and track the motion trajectory of a single object. The experiments are conducted and the related results prove the effectiveness of the proposed method. Keywordsobject recognition; motion tracking; image processing; motion trajectory

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تاریخ انتشار 2015