
	Journal of Applied Sciences
	Year: 2013 \| Volume: 13 \| Issue: 16 \| Page No.: 3221-3226 DOI: 10.3923/jas.2013.3221.3226

Study on an Intelligent Human Detection System for Unmanned Area Security in Ports

Mi Chao, Huang Youfang, Liu Haiwei, He Xin and Mi Weijian

Abstract: This study purposes an intelligent human detection system based on video cameras for unmanned area security in ports. The optimized Histograms of Oriented Gradients (HOG) descriptors are used to preprocess the image and the HOG features are then built. And then, a Support Vector Machine (SVM) classifier is applied to process those HOG features and determine whether there are humans in the image. At last, this paper describes a group of experiments of human detection in Coal Terminal of Tianjin Port. The result shows that the computer takes 500 m sec to analyze a 720p image and detect the human and the correctness is 94% which meets the requirements of the unmanned area security in ports.

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How to cite this article:

Mi Chao, Huang Youfang, Liu Haiwei, He Xin and Mi Weijian, 2013. Study on an Intelligent Human Detection System for Unmanned Area Security in Ports. Journal of Applied Sciences, 13: 3221-3226.

DOI: 10.3923/jas.2013.3221.3226

URL: https://scialert.net/abstract/?doi=jas.2013.3221.3226

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