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Research Article | Open Access |

HOG-AdaBoost Implementation for Human Detection Employing FPGA ALTERA DE2-115

Author 1: Trio Adiono Adiono Author 2: Kevin Shidqi Prakoso Author 3: Christoporus Deo Putratama Author 4: Bramantio Yuwono Author 5: Syifaul Fuada
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 9, No. 10 · Published 2018 · Cited by 9

DOI: https://doi.org/10.14569/IJACSA.2018.091042

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Abstract

Human detection system using Histogram of Oriented Gradients (HOG) feature and AdaBoost classifier (HOG-AdaBoost) in FPGA ALTERA DE2-115 are presented in this paper. This work is expanded version from our previous study. This paper discusses 1) the HOG performance in detecting human from a passive images with other point-of-views (30 deg., 40 deg., 50 deg., 60 deg. and up to 70 deg.); 2) FPS test with various image sizes (320 x 240, 640 x 480, 800 x 600, and 1280 x 1024); 3) re-measurement the FPGA’s power consumption and 4) simulate the architecture in RTL. We used three databases as a parameter for test purpose, i.e. INRIA, MIT, and Daimler.

Keywords

FPGA human detection adaboost classifier ALTERA DE2-115 Histogram Oriented Gradients (HOG) feature

How to Cite this Article

Adiono, T. A., Prakoso, K. S., Putratama, C. D., Yuwono, B., & Fuada, S. (2018). HOG-AdaBoost Implementation for Human Detection Employing FPGA ALTERA DE2-115. International Journal of Advanced Computer Science and Applications, 9(10). https://doi.org/10.14569/IJACSA.2018.091042

Adiono, Trio Adiono, et al.. "HOG-AdaBoost Implementation for Human Detection Employing FPGA ALTERA DE2-115." International Journal of Advanced Computer Science and Applications, vol. 9, no. 10, 2018, https://doi.org/10.14569/IJACSA.2018.091042.

@article{Adiono2018,
  title     = {HOG-AdaBoost Implementation for Human Detection Employing FPGA ALTERA DE2-115},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {9},
  number    = {10},
  year      = {2018},
  publisher = {The Science and Information Organization},
  author    = {Trio Adiono Adiono and Kevin Shidqi Prakoso and Christoporus Deo Putratama and Bramantio Yuwono and Syifaul Fuada},
  doi       = {10.14569/IJACSA.2018.091042},
  url       = {https://doi.org/10.14569/IJACSA.2018.091042}
}

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