Implementation of Embedded ARM9 Platform using Qt And openCV For Human Upper Body Detection

@article{Patel2014ImplementationOE,
  title={Implementation of Embedded ARM9 Platform using Qt And openCV For Human Upper Body Detection},
  author={Krunal Patel and Kalpesh R. Jadav},
  journal={IOSR Journal of Electronics and Communication Engineering},
  year={2014},
  volume={9},
  pages={73-79}
}
In this Paper, A novel architecture for automotive vision using an embedded device will be implemented on ARM9 Board with highly computing capabilities and low processing power. Currently, achieving real-time image processing routines such as convolution, thresholding, edge detection and some of the complex media applications is a challenging task in embedded Device, because of limited memory. An open software framework, Linux OS is used in embedded devices to provide a good starting point for… 
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