Characterizing a Heterogeneous System for Person Detection in Video Using Histograms of Oriented Gradients: Power Versus Speed Versus Accuracy

@article{Blair2013CharacterizingAH,
  title={Characterizing a Heterogeneous System for Person Detection in Video Using Histograms of Oriented Gradients: Power Versus Speed Versus Accuracy},
  author={Calum G. Blair and Neil M. Robertson and Danny Hume},
  journal={IEEE Journal on Emerging and Selected Topics in Circuits and Systems},
  year={2013},
  volume={3},
  pages={236-247}
}
This paper presents a new implementation, with complete analysis, of the processing operations required in a widely-used pedestrian detection algorithm (the histogram of oriented gradients (HOG) detector) when run in various configurations on a heterogeneous platform suitable for use as an embedded system. The platform consists of field-programmable gate array (FPGA), graphics processing unit (GPU), and central processing unit (CPU) and we detail the advantages of such an image processing… CONTINUE READING
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