Enhancement of Local Crowd Location and Count: Multiscale Counting Guided by Head RGB-Mask.

Journal: Computational intelligence and neuroscience
Published Date: Aug 24, 2022

Abstract

BACKGROUND: In crowded crowd images, traditional detection models often have the problems of inaccurate multiscale target count and low recall rate.

Authors

  • Guoyin Ren
    School of Mechanical Engineering, Inner Mongolia University of Science & Technology, Baotou 014010, China.
  • Xiaoqi Lu
    School of Computer Engineering and Science, Shanghai University, Shanghai, 200444, China; Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, 014010, China. Electronic address: lxiaoqi@imut.edu.cn.
  • Jingyu Wang
    Center of Medical & Health Analysis, School of Public Health, Peking University, Beijing, China.
  • Yuhao Li
    Institute of Bismuth Science, University of Shanghai for Science and Technology Shanghai 200093 P. R. China ouyangrz@usst.edu.cn.

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