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基于Hadoop的分布式视频车辆检索方法*
引用本文:李颜,仇洪冰,李燕龙.基于Hadoop的分布式视频车辆检索方法*[J].电视技术,2015,39(22):95-99.
作者姓名:李颜  仇洪冰  李燕龙
作者单位:桂林电子科技大学 信息与通信学院,桂林电子科技大学 信息与通信学院
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目)
摘    要:针对传统单机视频检索效率低下的问题,设计了一种基于Hadoop的分布式视频车辆检索方法。该方法首先将视频切割成多个分块,然后利用MapReduce和FFMPEG在分布式环境下提取视频帧,再通过车牌识别算法检索其中出现的车牌号码,最后计算出车辆在视频中出现的时间。实验结果表明,与单机检索方式相比,该方式具有更强的数据处理能力和更高的检索效率。

关 键 词:分布式处理  车辆检索  Hadoop  MapReduce  FFMPEG
收稿时间:2015/3/26 0:00:00
修稿时间:2015/4/29 0:00:00

Method of Distributed Video Vehicle Retrieval Based on Hadoop
Affiliation:SchoolSofSInformationSandSCommunicationSEngineering,Guilin University of Electronic Technology,SchoolSofSInformationSandSCommunicationSEngineering,Guilin University of Electronic Technology
Abstract:In order to solve the problem that the Singe Operating System has the low video retrieval efficiency, in this paper, a method of distributed video vehicle retrieval based on Hadoop is proposed. Firstly, the videos are split up into video blocks. Secondly, using MapReduce and FFMPEG extract the video frames based on distributed environment. Subsequently, retrieve the license numbers appearing in the videos via the License Plate Recognition Algorithm. Finally, the time when the vehicles appear in the video is realized. Comparing with the method of Singe-Retrieval, the test shows that this new method has more powerful capability for data processing and higher efficiency for retrieving.
Keywords:Distributed Processing  Vehicle Retrieval  Hadoop  MapReduce  FFMPEG
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