随着智能监控技术的快速发展，越来越多的公共场合监控系统由人力监控向计算机辅助监控转化。机场传送仓作为机场中的重点安全区域，对其进行侵入者的实时检测是十分必要的。人体检测是视觉分析领域的重要组成部分，其在视频监控领域当中有着广泛的应用。针对机场行李传送监控视频，提出了一种用于区分人体与常规行李的视觉特征，并且利用该特征实现了一个实时的智能视频监控系统，用于检测传送仓中的侵入者。实验结果表明，该系统降低了人力资源的消耗，且有效地降低了侵入者的漏报率，从而提高监控质量。

With the rapid development of smart surveillance technology, more surveillance systems in public environments have switched from human based to computer. Delivery warehouse in airports is an important security area and it is very necessary to detect the inside invaders. Human detection is an important part in visual analysis and also widely used in smart surveillance systems. In accordance with the surveillance videos of airport delivery warehouse, a kind of visual feature is proposed to differentiate human body and normal luggage. Based on that feature, a real time smart surveillance system is also built to detect the invaders. This system reduces the cost of human resources and the experiment shows the missing rate of invaders detection is also reduced and the safety is increased.