An Emergency Evacuation Model Based on Computer Vision Smart Inducing in Hotel Stampede Environment

Abstract:

Stampede accidents in hotel crowded area will cause disorder in flow information. As we know, flow density and direction of movement have strong nonlinearity and mutation. This paper proposes a complex network model for rapid evacuation based on computer vision smart inducing. On basis of images' process, the paper fully considers the mutation of flow and direction by the mutation operator of flow direction, and increases the evacuation speed by extracting mutation parameter of local area and feeding back it to control terminal. The experiment results show that the proposed algorithm improves the accuracy and speed of evacuation in hotel stampede environment.

• Periodical: Applied Mechanics and Materials (Volumes 556-562)
• Pages: 5736-5739
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.556-562.5736
• Online since: May 2014
• Authors: Kun Gao*
• Keywords: Evacuation, Induced Mutation, Stampede

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