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Human position and head direction tracking in fisheye camera using randomized ferns and fisheye histograms of oriented gradients

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Abstract

This paper proposes a system for tracking human position and head direction using fisheye camera mounted to the ceiling. This is believed to be the first system to estimate head direction from ceiling-mounted fisheye camera. Fisheye histograms of oriented gradients descriptor is developed as a substitute to the histograms of oriented gradients descriptor which has been widely used for human detection in perspective camera. Human body and head are detected by the proposed descriptor and tracked to extract head area for direction estimation. Direction estimation using randomized ferns is adapted to work with fisheye images by using the proposed descriptor, guided by the direction of movement. With experiments on available dataset and new dataset with ground truth, the direction can be estimated with average error below \(40^{\circ }\), with head position error half of the head size.

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Funding

This work was partially supported by JSPS KAKENHI (Grant Number 15H01698).

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Authors and Affiliations

  1. Department of Precision Engineering, School of Engineering, The University of Tokyo, Tokyo, Japan

    Veerachart Srisamosorn & Atsushi Yamashita

  2. Graduate School of Science and Technology, Kyoto Institute of Technology, Kyoto, Japan

    Noriaki Kuwahara

  3. Department of Computer Science, School of Computing, Tokyo Institute of Technology, Tokyo, Japan

    Taiki Ogata

  4. Research Into Artifacts, Center for Engineering (RACE), School of Engineering, The University of Tokyo, Tokyo, Japan

    Shouhei Shirafuji & Jun Ota

Authors
  1. Veerachart Srisamosorn
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  2. Noriaki Kuwahara
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  3. Atsushi Yamashita
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  4. Taiki Ogata
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  5. Shouhei Shirafuji
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  6. Jun Ota
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Correspondence to Veerachart Srisamosorn.

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Srisamosorn, V., Kuwahara, N., Yamashita, A. et al. Human position and head direction tracking in fisheye camera using randomized ferns and fisheye histograms of oriented gradients. Vis Comput 36, 1443–1456 (2020). https://doi.org/10.1007/s00371-019-01749-9

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