Regular Articles

Head detection based on skeleton graph method for counting people in crowded environments

[+] Author Affiliations
Kheireddine Aziz

Toulon University, SeaTech School, Avenue de l’Universite—BP 20132, 83957 La Garde Cedex, France

Djamal Merad, Rabah Iguernaissi, Pierre Drap, Bernard Fertil

Aix-Marseille University, Laboratory Science Information and Systems—Mixed Research Unit, French National Centre for Scientific Research 6168, 163 Avenue of Luminy, 13288 Marseille Cedex 9, France

J. Electron. Imaging. 25(1), 013012 (Jan 27, 2016). doi:10.1117/1.JEI.25.1.013012
History: Received August 26, 2015; Accepted December 15, 2015
Text Size: A A A

Abstract.  We describe a method for detecting heads in order to count people in crowded environments using a single camera. The main difference between this method and traditional ones consists of adapting skeleton graph analysis techniques for distinguishing individuals in crowded environments. First, a graph skeleton is calculated for each selected blob in a scene after having performed motion estimation. Then, the structural property of each blob is explored to detect possible heads in order to estimate the number of people. Each detected head in the skeleton silhouette is identified as being in an independent or partial occlusion state and is updated during a tracking process. Finally, the results of our experiments are presented to demonstrate the robustness of our method.

© 2016 SPIE and IS&T

Citation

Kheireddine Aziz ; Djamal Merad ; Rabah Iguernaissi ; Pierre Drap and Bernard Fertil
"Head detection based on skeleton graph method for counting people in crowded environments", J. Electron. Imaging. 25(1), 013012 (Jan 27, 2016). ; http://dx.doi.org/10.1117/1.JEI.25.1.013012


Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.