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Design of monitoring system of population flow on public bus(PDF)

长安大学学报（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2011年05期
Page:
80-84
Research Field:
Publishing date:
2011-10-20

Info

Title:
Design of monitoring system of population flow on public bus
Author(s):
GUO Rong-qing;  ZHAO Xuan;  XU Shi-wei;  SUN Jia-yong
School of Automobile, Chang'an University, Xi'an 710064, Shaanxi, China
Keywords:
traffic engineering;  population flow monitoring;  image processing;  centroid obtainment
PACS:
TP391.41
DOI:
-
Abstract:
A kind of population flow monitoring systems on buses is designed to overcome the difficulty of calculating the population flow by manual work. Using computer image processing technology, this system can acquire head portrait modules that fit human body characteristics by dividing the moving images. Then it can accurately distinguish that one moving target is whether a human body or not by matching the head elliptic curve. Finally it can be realized to count the people number on the bus by monitoring whether the human body's centroid has crossed the counting line which is set on the bus. It is convenient to count the flows on every time interval or every site with this system, and to obtain passengers' number, which not only can give an alarm when the bus overloads, but also can provide the information for the public transportation dispatch supplies. 6 figs, 10 refs.

References:

[1] 肖 杰,裴忠才,徐立新.运动目标识别与跟踪系统的研究[J].微计算机信息,2007,23(1):1-2,5. XIAO Jie,PEI Zhong-cai,XU Li-xin.Research on the recognition and tracking system of moving object[J].Microcomputer Information,2007,23(1):1-2,5.
[2]杜 峥,张桂林,洪靖云.视频监控系统中的一种运动检测算法[J].机械与电子,2003(6):45-47. DU Zheng, ZHANG Gui-lin,HONG Jing-yun. A motion detection algorithm in video surveillance system[J].Machinery & Electronics,2003(6):45-47.
[3]翁南衫,蔡德钧.视频对象分割与两种面向对象的视频编码器[J].电子学报,2000,28(10):106-110. WENG Nan-shan,CAI De-jun. Video object segmentation and two kinds of object-oriented video coder[J].Acta Electronica Sinica,2000,28(10):106-110.
[4]Neri A,Colonnese S,Russo G,et al. Automatic moving object and backgorund separation[J].Signal Processing,1998,66(2):219-232.
[5]Danny B Y,Heetor H G B,Lonidas J G. Counting people in crowds with a real-time network of simple image sensors[C]//IEEE Proceedings of the IEEE International Conference on Computer Vision.Stanford University,Institute of Electrical and Electronics Engineers Inc,2003:122-129.
[6]王新春,王保保.基于小波神经网络的人脸识别[J],微机发展,2003,13(6):27- 31. WANG Xin-chun,WANG Bao-bao. Face recognition based on wavelet neural network[J]. Microcomputer Development,2003,13(6):27- 31.
[7]Granlund G H.Fourier preprocessing for hand print character recognition[J]. IEEE Transactions on Computers,1972,21(2):195-201.
[8]Fieguth P,Terzopoulos D. Color-based tracking of heads and other mobile objects at video frame rates [C] //IEEE Proceedings of the 1997 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.IEEE Press,1997:21-27.
[9]谢树煜,陈 倩,朱 虹.实时视频对象识别与计数系统的模型和算法设计[J]. 清华大学学报:自然科学版,2001,41(7):61-64. XIE Shu-yu,CHEN Qian,ZHU Hong. Model and algorithm design of real-time object recognizing and counting in video[J].Journal Tsinghua University:Science and Technology,2001,41(7):61-64.
[10]陈 倩. 毛主席纪念堂视频监测系统设计与实现[D]. 北京:清华大学,1997.

Memo

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Last Update: 2011-10-20