Journal of Applied Spectroscopy

, Volume 85, Issue 1, pp 126–133 | Cite as

Application of Integral Optical Flow for Determining Crowd Movement from Video Images Obtained Using Video Surveillance Systems

  • H. Chen
  • Sh. Ye
  • O. V. Nedzvedz
  • S. V. Ablameyko

Study of crowd movement is an important practical problem, and its solution is used in video surveillance systems for preventing various emergency situations. In the general case, a group of fast-moving people is of more interest than a group of stationary or slow-moving people. We propose a new method for crowd movement analysis using a video sequence, based on integral optical flow. We have determined several characteristics of a moving crowd such as density, speed, direction of motion, symmetry, and in/out index. These characteristics are used for further analysis of a video scene.


integral optical flow motion analysis crowd movement 


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© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Zhejiang Shuren UniversityHangzhouChina
  2. 2.Belarusian State Medical UniversityMinskBelarus
  3. 3.Belarusian State UniversityMinskBelarus
  4. 4.The United Institute of Informatics ProblemsNational Academy of Sciences of BelarusMinskBelarus

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