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Article type: Research Article
Authors: Chen, Huafeng1; * | Nedzvedz, Olga2 | Ye, Shiping1 | Ablameyko, Sergey3
Affiliations: [1] Zhejiang Shuren University, 8, Shuren Street, Hangzhou, 310015, People’s Republic of China. E-mail: [email protected] | [2] Belarusian State Medical University, 83, Dzerzhinski Avenue, Minsk, 220116, Republic of Belarus | [3] Belarusian State University, 4, Nezavisimosti Avenue, Minsk, 220050, Republic of Belarus
Correspondence: [*] Corresponding author.
Abstract: Basic motion structures of crowd aggregation and crowd dispersion are defined and a novel method for identifying these crowd behaviours is proposed. Based on integral optical flow, background and foreground are separated and intensive motion region is obtained. Crowd motion is analysed at pixel-level statistically for each frame to obtain quantity of pixels moving toward or away from each position and their comprehensive motion at each position. Regional motion indicators are computed and regional motion maps are formed to describe motions at region-level. Crowd behaviours are identified by threshold segmentation of regional motion maps.
Keywords: crowd behaviour, integral optical flow, motion analysis, segmentation
Journal: Informatica, vol. 29, no. 2, pp. 211-232, 2018
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