Estimation of Crowd Density Based on Adaptive LBP

Yue Li; Tao Zou; Peng Chen

doi:10.4028/www.scientific.net/AMR.998-999.864

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 998-999Estimation of Crowd Density Based on Adaptive LBP

Estimation of Crowd Density Based on Adaptive LBP

Abstract:

In recent years, mass incidents occurred frequently. In order to identify and warn the incidents proactively and timely. To this problem, we propose an algorithm based on adaptive LBP to estimate the crowd density. Firstly, use three-dimensional Hessian matrix to detect characteristic point. Secondly, use improved adaptive LBP to extract the dynamic texture and analyze it, then get the local feature. Thirdly, learn for global characteristic vectors, and then estimate the density level with support vector machine (SVM). Through simulation comparison, the density estimation method is more accurate and more real-time.

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Periodical:

Advanced Materials Research (Volumes 998-999)

Pages:

864-868

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.998-999.864

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Online since:

July 2014

Authors:

Yue Li*, Tao Zou, Peng Chen

Keywords:

Adaptive LBP, Crowd Density, Estimation

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