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闸机识别系统是城市轨道交通自动检票设备的核心部分。针对闸机识别系统识别率不高的问题,按照事件序列可以描述物体运动过程的思路,提出了基于事件识别的新方法。采用对射式红外传感器捕获运动个体的动作、行为和事件。在运动个体经过闸机通道时,对形成的动作序列根据预定义的行为和事件进行分析,获得个体运动过程中所存在的行为和事件,并产生事件序列。通过判断事件序列中通行事件对的个数,得到运动个体的个数。事件识别方法的最小识别单位是运动个体,在1个事件序列中,每个通行事件对就对应于1个运动个体通过了闸机通道。使用开发的闸机仿真软件和物理样机,对事件识别方法的识别效果进行试验,结果表明该识别方法是有效的。
Gate identification system is the city rail transit automatic ticket checking equipment core part. Aiming at the problem that the recognition rate of gate recognition system is not high, the idea of object motion can be described according to sequence of events, and a new method based on event recognition is proposed. The use of infrared sensors capture the movement of individuals, behaviors and events. When a moving individual passes through a gate passageway, the formed action sequence is analyzed according to predefined behaviors and events, and the behaviors and events existing in the movement of the individual are obtained, and an event sequence is generated. By judging the number of passing events in the sequence of events, the number of moving individuals is obtained. The minimum identification unit of the event recognition method is a moving individual. In one sequence of events, each passing event pair corresponds to one moving individual passing through the gates channel. The developed gateway simulation software and physical prototype are used to test the identification of event recognition methods. The results show that the identification method is effective.