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      Human detection and tracking using camera (Part II)

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      Main Article (1.361Mb)
      Author
      Chakravarthi, M. Rubern
      Date of Issue
      2017
      School
      School of Electrical and Electronic Engineering
      Abstract
      In this project, the author learnt about human detection and tracking using OpenCV, Python and MATLAB. The author implemented solutions in Python using OpenCV to handle computer vision tasks such as face tracking, motion detection and tracking as well as human detection and tracking. The author also tested the feasibility of using the Raspberry Pi as platform for computer vision tasks.
      Subject
      DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
      Type
      Final Year Project (FYP)
      Rights
      Nanyang Technological University
      Collections
      • EEE Student Reports (FYP/IA/PA/PI)

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