Volume 8 Number 11 (Nov. 2013)
Home > Archive > 2013 > Volume 8 Number 11 (Nov. 2013) >
JSW 2013 Vol.8(11): 2839-2846 ISSN: 1796-217X
doi: 10.4304/jsw.8.11.2839-2846

Crowd Density Estimation Based on ELM Learning Algorithm

Shan Yang, Hong Bao, Bobo Wang, Haitao Lou

Beijing Key Laboratory of Information Service Engineering, Beijing Union University, Beijing, Chaoyang district, 100101, China

Abstract—Crowd density estimation in public areas with people gathering and waiting is the important content of intelligent crowd surveillance. A real-time and high accuracy algorithm is necessary to be inputted in the classification and regression of crowd density estimation to improve the speed and increase the efficiency. Extreme Learning Machine (ELM) is a neural network architecture in which hidden layer weights are randomly chosen and output layer weights determined analytically. In this paper, we propose a new method which is based on Haralick’s texture vectors, Gray-level Co-occurrence Matrix and ELM. The datasets are based on PETS2009 and UCSD. The performances are compared among SVM, BP and ELM. The experimental results suggest that the ELM learning algorithm has a good performance of accuracy and a very fast speed than other methods.

Index Terms—ELM, crowd density estimation, SVM, BP.

[PDF]

Cite: Shan Yang, Hong Bao, Bobo Wang, Haitao Lou, "Crowd Density Estimation Based on ELM Learning Algorithm," Journal of Software vol. 8, no. 11, pp. 2839-2846, 2013.

General Information

ISSN: 1796-217X (Online)
Frequency:  Quarterly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKIGoogle Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsweditorialoffice@gmail.com
  • Mar 01, 2024 News!

    Vol 19, No 1 has been published with online version    [Click]

  • Apr 26, 2021 News!

    Vol 14, No 4- Vol 14, No 12 has been indexed by IET-(Inspec)     [Click]

  • Nov 18, 2021 News!

    Papers published in JSW Vol 16, No 1- Vol 16, No 6 have been indexed by DBLP   [Click]

  • Jan 04, 2024 News!

    JSW will adopt Article-by-Article Work Flow

  • Nov 02, 2023 News!

    Vol 18, No 4 has been published with online version   [Click]