INFRARED PASSENGER FLOW COLLECTION SYSTEM BASED ON RBF NEURAL NET

摘要：

As the current level of the people-counting, on the consideration of the cost of the acquisition equipment and the acquisition accuracy, the Customer-counting system is constructed based on RBF neural net using technology of infrared photoelectric sensor. For better differential count, extant data segmentation and the method of feature extraction is improved based on the feature of passenger-counting data continuous space-time sequence. Compared with traditional Customer-counting using sensor, the accuracy of real-time Customer-counting is improved in this method and the situation of customers who entry at the same time can be identified with lower error rate. It is helpful for both principle research and actual application.

关键词： Passenger flow RBF Neural network Segmentation feature eztraction

作者: JIE SONG YONG-FENG DONG XIN-WEI YANG JUN-HUA GU PEI-PE1 FAN

作者单位: School of Computer Science & Software, Hebei University of Technology, Tianjin 300401, China

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 1277-1281

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）