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APHOG: A Framework for Fast Object Detection Using Histograms of Oriented Gradients

Chris Cowdery-Corvan, Liangyi Fan, Thomas Knack
Rochester Institute of Technology
Rochester Institute of Technology, 2011

@article{cowdery2011aphog,

   title={APHOG: A Framework for Fast Object Detection Using Histograms of Oriented Gradients},

   author={Cowdery-Corvan, C. and Fan, L. and Knack, T.},

   year={2011}

}

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In this paper we show how it is possible to improve the efficiency of existing holistic forms of object detection by refining detection areas to smaller subsets. Although this method can be applied to any form of object detection, this paper will specifically focus on the topic of pedestrian detection in lowresolution non-stationary video footage.
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