Experimentally Determined the Structure of Crowd Formation Recognition Model with K2

Zhong Feng Wang; Hui Zhang

doi:10.4028/www.scientific.net/AMM.411-414.1256

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 411-414Experimentally Determined the Structure of Crowd...

Experimentally Determined the Structure of Crowd Formation Recognition Model with K2

Abstract:

The identifying accuracy of crowd formation recognition models are typically tailored to the type of structure of model, or a specific scene domain. In this paper, we explore the sub-optimal structure of crowd formation model with K2 algorithm. Experimental results show that the recognition model structure taking into account at most two parents performs better than others on a data set generated from Xidan Commercial Street.

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Periodical:

Applied Mechanics and Materials (Volumes 411-414)

Pages:

1256-1259

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.411-414.1256

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Online since:

September 2013

Authors:

Zhong Feng Wang, Hui Zhang

Keywords:

Bayesian Network Classifier, Crowd Event, Pattern Recognition, Public Safety

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