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Estimating Human Size in 2D Image for Improvement of Detection Speed in Indoor Environments
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  • Journal title : Journal of Broadcast Engineering
  • Volume 21, Issue 2,  2016, pp.252-260
  • Publisher : The Korean Institute of Broadcast and Media Engineers
  • DOI : 10.5909/JBE.2016.21.2.252
 Title & Authors
Estimating Human Size in 2D Image for Improvement of Detection Speed in Indoor Environments
Gil, Jong In; Kim, Manbae;
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The performance of human detection system is affected by camera location and view angle. In 2D image acquired from such camera settings, humans are displayed in different sizes. Detecting all the humans with diverse sizes poses a difficulty in realizing a real-time system. However, if the size of a human in an image can be predicted, the processing time of human detection would be greatly reduced. In this paper, we propose a method that estimates human size by constructing an indoor scene in 3D space. Since the human has constant size everywhere in 3D space, it is possible to estimate accurate human size in 2D image by projecting 3D human into the image space. Experimental results validate that a human size can be predicted from the proposed method and that machine-learning based detection methods can yield the reduction of the processing time.
human size estimation;camera calibration;image projection;depth map;
 Cited by
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