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Density Map Estimation for Crowded Chicken

  • Dong Cheng
  • Tianze Rong
  • Guitao CaoEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11903)

Abstract

Intensive breeding is the trend of the breeding industry. In order to make it more convenient to manage and reduce labor costs, sometimes we need to estimate the number of individuals in the poultry farm and discriminate the density distribution to help scientific management. At the same time, crowd density estimation is a developing research direction in deep learning. There are both similarities and differences between crowd counting task and chicken counting task. Aimed at the characteristics of poultry farm images, this paper presents a solution to density estimation and counting of poultry individuals in poultry farm by deep network method. We designed an end to end model and transform the problem into a pixel-level classification problem to get the density map.

Keywords

Density estimation Flock counting Pixel level classification 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.East China Normal UniversityShanghaiChina

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