Human Detection for Video Surveillance in Hospital  

作　　者：Cheng-Hung Chuang Zhen-You Lian Po-Ren Teng Miao-Jen Lin 

机构地区：[1]Department of Computer Science and Information Engineering,Asia University,Taichung 41354 [2]the Psychiatry Department Chang Bing Show Chwan Memofial Hospital Changhua 50544

出　　处：《Journal of Electronic Science and Technology》2017年第2期147-152,共6页电子科技学刊（英文版）

基　　金：supported by the“MOST”under Grant No.103-2221-E-468-008-MY2

摘　　要：This paper presents a human detection system in a vision-based hospital surveillance environment. The system is composed of three subsystems, i.e. background segmentation subsystem （BSS）, human feature extraction subsystem （HFES）, and human recognition subsystem （HRS）. The codebook background model is applied in the BSS, the histogram of oriented gradients （HOG） features are used in the HFES, and the support vector machine （SVM） classification is employed in the HRS. By means of the integration of these subsystems, the human detection in a vision-based hospital surveillance environment is performed. Experimental results show that the proposed system can effectively detect most of the people in hospital surveillance video sequences.This paper presents a human detection system in a vision-based hospital surveillance environment. The system is composed of three subsystems, i.e. background segmentation subsystem （BSS）, human feature extraction subsystem （HFES）, and human recognition subsystem （HRS）. The codebook background model is applied in the BSS, the histogram of oriented gradients （HOG） features are used in the HFES, and the support vector machine （SVM） classification is employed in the HRS. By means of the integration of these subsystems, the human detection in a vision-based hospital surveillance environment is performed. Experimental results show that the proposed system can effectively detect most of the people in hospital surveillance video sequences.

关 键 词：Index Terms--Background segmentation CODEBOOK histogram of oriented gradients （HOG） human classification support vector machine （SVM） video surveillance. 

分 类 号：TN948.6[电子电信—信号与信息处理]