Average Population Density Estimation in Rail Transit Stations Based on Video Statistical Analysis

Abstract:

This article describes the use of the average population density estimation methods based on video statistical analysis, and mainly discussed the research and application of the air conditioning energy-efficient system in the subway. The distributed intelligent control system in the subway station platform captured video images by more than one camera sensors, according to the computer image processing methods, for example it have the unique advantages for the fuzzy neural network to model the human nervous system in fuzzy information processing. This article used the improved Meanshift algorithm based on pixel energy to capture the moving target in the video. This method can legitimately divide the crowd by achieving the image intelligent analysis data, and whats more, it can help to get the estimation of population density.

• Periodical: Applied Mechanics and Materials (Volumes 513-517)
• Pages: 3617-3620
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.513-517.3617
• Online since: February 2014
• Authors: Bao Guo Zheng*, Bing Xu, Zhong Jin Shi, Yi Huan Hui
• Keywords: Energy Saving, Mean-Shift, Population Density, Video Processing

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