Counting and locating high-density objects using convolutional neural network

作者：

Highlights：

• We propose a new method for counting and locating objects with high-density.

• Our method proposes a multi-stage refinement to improve location in dense regions.

• Results using the proposed method proved superior to traditional approaches.

摘要

•We propose a new method for counting and locating objects with high-density.•Our method proposes a multi-stage refinement to improve location in dense regions.•Results using the proposed method proved superior to traditional approaches.

论文关键词：Deep learning,Object counting,Tree counting,Car counting

论文评审过程：Received 27 May 2020, Revised 11 May 2021, Accepted 14 January 2022, Available online 5 February 2022, Version of Record 9 February 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.116555