CROWD VIDEO SEQUENCES PROCESSING METHODS FOR DETERMINING THE CROWD MOTION PATTERNS

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Published: Apr 24, 2024
DOI: https://doi.org/10.52928/2070-1624-2024-42-1-26-33
Keywords:
dynamic object, crowd, optical flow, objects cluster motion, motion maps динамический объект, скопление людей, оптический поток, движение скопления объектов, карты движения
Issue
No. 1 (2024)
Section
Информатика, вычислительная техника и управление

Main Article Content

S. SHOLTANYUK
Belarusian State University, Minsk
Q. BU
Nanjing Research Institute of Electronics Engineering, China
A. NEDZVED
Belarusian State University, Minsk; United Institute of Informatics Problems of the National Academy of Sciences of Belarus, Minsk

Abstract

Nowadays, homogeneous objects clusters motion is one of the most important and rapidly developing computer vision and machine learning application. In this paper, we consider the crowd motion patterns determination by using motion maps that we calculate with FlowNet, a neural network examining motion of objects in a video sequence. This approach allows us to get information on the crowd direction and velocity with relation to other objects of scene, which plays the key role in behavior analysis and security establishment. Besides, we consider methods for preliminary video sequence processing, including frame combination, to estimate motion maps more precisely and improve the effectiveness of the dynamic scenes analysis.

Article Details

How to Cite
SHOLTANYUK, S., BU, Q., & NEDZVED, A. (2024). CROWD VIDEO SEQUENCES PROCESSING METHODS FOR DETERMINING THE CROWD MOTION PATTERNS. Vestnik of Polotsk State University. Part C. Fundamental Sciences, (1), 26-33. https://doi.org/10.52928/2070-1624-2024-42-1-26-33
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Author Biography

A. NEDZVED, Belarusian State University, Minsk; United Institute of Informatics Problems of the National Academy of Sciences of Belarus, Minsk

д-р техн. наук, доц.

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