摘要
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。
The recognition system of the ticket gate is the core of the automatic fare collection equipment in urban mass transit. Since the recognition ratio of the ticket gate system is low, a new method based on event recognition is presented to improve the recognition ratio according to the concept that a motion process can be described by an event sequence. Infrared sensors are used to detect actions, events and activities of motion units for a transit of passengers. When motion units pass through the walkway of the ticket gate, an action sequence is obtained. The action sequence is converted into an event one by means of the predefined activities and events. The number of the motion units is the number of the transit event pairs in the event sequence. Motion unit is regarded as the minimum recognition unit in the event recognition method. Each of transit event pairs in any event sequence is corresponding to one motion unit. The recognition method is tested by using the simulation software and the ticket gate developed in this paper. The test results show that the recognition method is effective.
出处
《中国铁道科学》
EI
CAS
CSCD
北大核心
2006年第4期112-118,共7页
China Railway Science
基金
天津大学横向基金资助项目(G204181)
关键词
事件识别方法
闸机识别技术
通行事件对
运动个体
自动检票设备
Event recognition method
Recognition technology of ticket gate
Transit event pair
Motion unit
Automatic fare collection equipment
