收稿日期: 2014-03-21
修回日期: 2014-07-29
网络出版日期: 2015-05-15
基金资助
国家科技重大专项(2010ZX03006-001-02)资助
Big data-based hot-spot real-time traffic monitoring system
Received date: 2014-03-21
Revised date: 2014-07-29
Online published: 2015-05-15
宋瑞 , 姚郑 . 基于大数据的热点区域人员流量实时监测系统[J]. 中国科学院大学学报, 2015 , 32(3) : 428 -431 . DOI: 10.7523/j.issn.2095-6134.2015.03.021
A big data-based hot-spot real-time traffic monitoring system is implemented. The system analyzes the passenger flow of each entry in real time, estimates the regular pattern of stay passengers in each hot-spot, and scientifically allocates resources for operation and administration. The period of the real-time processing in the system is shorter than 15 seconds, and the error rate of object detection is less than 7.5%. The operation results show that the system achieves the practical goals of real-time collection, analysis, and processing for big data.
Key words： traffic monitoring; big data; real-time processing; micro cloud network
[1] 覃雄派,王会举,杜小勇,等.大数据分析:RDBMS与MapReduce 的竞争与共生[J]. 软件学报,2012,23(1):32-45.
[2] Wlodarczyk T W. Overview of time series storage and processing in a cloud environment[C]//IEEE 4th International Conference on Digital Object Identifier: 10.1109/CloudCom. 2012:625-628.
[3] Suna S W, Wang Y C, Huang F, et al. Moving foreground object detection via robust SIFT trajectories[J]. Journal of Visual Communication and Image Representation, 2013, 24(3):232-243.
[4] Lucas B D, Kanade T. An iterative image registration technique with an application to stereo vision[C]//Proceedings of Imaging Understanding Workshop, 1981:121-130.
[5] Pérez J S, Meinhardt-Llopis E, Facciolo G. TV-L1 optical flow estimation[J]. Image Processing on Line, 2013, 3:137-150.
[6] Toshev A, Taskar B, Daniilidis K. Shape-based object detection via boundary structure segmentation[J]. International Journal of Computer Vision archive, 2012, 99 (2):123-146.
[7] Storm. distributed and fault tolerant realtime computation[CP/OL].[2014-03-10]. http://storm-project.net.
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