Practical real-time system for object counting based on optical flow

Jacky Baltes, Amirhossein Hosseinmemar, Joshua Jung, Soroush Sadeghnejad, John Anderson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper describes a simple and effective system for counting the number of objects that move through a region of interest. In this work, I focus on the problem of counting the number of people that are entering or leaving an event. I design a pedestrian counting system that uses a dense optical flow field to calculate the integral of the optical flow in a video sequence. The only parameter used in the system is the the estimated integral flow for a single person. This parameter can be easily calculated from a short training sequence. Empirical evaluations show that the system is able to provide accurate estimates even for complex sequences in real-time. The described system won 2nd place in the pedestrian counting computer vision competition at the IEA-AIE 2014 conference.

Original languageEnglish
Title of host publicationRobot Intelligence Technology and Applications 3 - Edition of the Selected Papers from the 3rd International Conference on Robot Intelligence Technology and Applications
EditorsWeimin Yang, Hyun Myung, Jong-Hwan Kim, Peter Sincak, Jun Jo
PublisherSpringer Verlag
Pages299-306
Number of pages8
ISBN (Print)9783319168401
DOIs
Publication statusPublished - 2015 Jan 1
Event3rd International Conference on Robot Intelligence Technology and Applications, RiTA 2014 - Beijing, China
Duration: 2014 Nov 62014 Nov 8

Publication series

NameAdvances in Intelligent Systems and Computing
Volume345
ISSN (Print)2194-5357

Other

Other3rd International Conference on Robot Intelligence Technology and Applications, RiTA 2014
CountryChina
CityBeijing
Period14/11/614/11/8

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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  • Cite this

    Baltes, J., Hosseinmemar, A., Jung, J., Sadeghnejad, S., & Anderson, J. (2015). Practical real-time system for object counting based on optical flow. In W. Yang, H. Myung, J-H. Kim, P. Sincak, & J. Jo (Eds.), Robot Intelligence Technology and Applications 3 - Edition of the Selected Papers from the 3rd International Conference on Robot Intelligence Technology and Applications (pp. 299-306). (Advances in Intelligent Systems and Computing; Vol. 345). Springer Verlag. https://doi.org/10.1007/978-3-319-16841-8_28