摘要
针对闸机通行识别中的目标识别和事件识别问题,由于不同类型的目标及其事件特征具有相容性,提出了偏序集模式识别方法。该方法根据实际的大样本检测数据,通过定义目标和事件特征的偏序集,比较合理地建立多层次级别的目标和事件特征,以多目标及其事件的一系列特征组成的偏序集为基础,给出通行识别中多类型目标和事件的较为合理的模式识别结果。
In the infrared system for automatic fare gates, to identify the problem of targets detected and events recognition, due to it is compatible in features of the different types of targets and events, this paper puts forward the pattern recognition via partial order set. The method according to the actual large sample testing data, through the definition of the partially order set of targets features and events features, it is reasonable to establish partial order set of events features and target features, give more reasonable schedule of pattern recognition about the target and event of various types via partial order set.
出处
《信息技术》
2013年第2期110-112,共3页
Information Technology
关键词
模式识别
目标检测
偏序集
红外传感器
自动检票闸机
pattern recognition
target detection
partially order set
infrared sensors
automatic fare gates
