Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (11): 241-243.

• 工程与应用 • Previous Articles     Next Articles

Study on P2DHMM method of automatic passenger counting for bus management

FANG Cheng-yin1,2,MA Jian-wen1,CHEN Xue1,WEN Qi1,ZENG Guang-ping2   

  1. 1.Institute of Remote Sensing Applications,Chinese Academy Of Sciences,Beijing 100101,China
    2.University of Science and Technology,Beijing 100083,China
  • Received:2007-08-01 Revised:2007-10-15 Online:2008-04-11 Published:2008-04-11
  • Contact: FANG Cheng-yin

公交车乘客流量自动计数的P2DHMM技术研究

方成荫1,2,马建文1,陈 雪1,温 奇1,曾广平2   

  1. 1.中国科学院 遥感应用研究所,北京 100101
    2.北京科技大学,北京 100083
  • 通讯作者: 方成荫

Abstract: In order to content the development of the roboticized and intelligentized bus management,the management of self-service is adopted in many cities in China.But it can’t satisfy the request with bus adjusting and programing,so,it is a hot subject to develop a model of automatic passenger counting with high-precision to obtain the reliably daily flux of passengers.The precision of the present system is around 80%.The problem is caused by the crowed passengers when passengers take bus.The general pattern recognition is unable to distinguish sole person.Based on the sufficient research,the author design a project with common digital vidicon and the advanced model of P2DHMM.The result of the simulating experiment confirmed that it has nice capability on recognition,and affords a good foundation for the reality.

Key words: bus management, automatic counting system, Pseudo Two Dimensional Hidden Markov Model(P2DHMM)

摘要: 我国一些大中城市公交车运营管理采用了无人售票的刷卡系统管理,但是自动刷卡系统不能够满足车辆调度、运营规划等公共交通管理的要求,为了获取乘客流量的实际数据,开发高精度自动记数模型成为当前的热点和技术难点。我国现有乘客流量统计系统的精度在80%左右,造成精度问题的主要原因是在乘车高峰时段拥挤的状态背景条件下,一般模式识别算法和模型设计难以准确将单个人体识别和分割出来,为此,在充分调研的基础上,设计了采用普通数码摄像机和模板匹配方案,选择实验了先进的P2DHMM模型,模拟实验结果证实,该方法具有稳定的识别性能,为真实条件下的实验奠定了良好的基础。

关键词: 公交车运营管理, 自动记数系统, 伪二维隐马尔可夫模型(P2DHMM)