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Intelligent video monitoring system has been used widely in daily life. In order to avoid the casualties, as well as to predict potentially dangerous situations, real-time monitoring of crowd activities indoor has become an urgent requirement. In recent years, the video-based passenger flow counting systems have been improved a lot with constant equipment update. However, these systems are mostly aimed at a particular scene. In crowded circumstances, the statistical precision is not verydoi:10.22266/ijies2010.0630.01 fatcat:yzj6ndyphzh3xl65l5nytva5ku