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Abnormal prediction of dense crowd videos by a purpose-driven lattice Boltzmann model

Yiran XuePeng LiuYe TaoXianglong Tang — 2017

International Journal of Applied Mathematics and Computer Science

In the field of intelligent crowd video analysis, the prediction of abnormal events in dense crowds is a well-known and challenging problem. By analysing crowd particle collisions and characteristics of individuals in a crowd to follow the general trend of motion, a purpose-driven lattice Boltzmann model (LBM) is proposed. The collision effect in the proposed method is measured according to the variation in crowd particle numbers in the image nodes; characteristics of the crowd following a general...

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