Computer Science ›› 2016, Vol. 43 ›› Issue (Z6): 448-451.doi: 10.11896/j.issn.1002-137X.2016.6A.105

Previous Articles     Next Articles

Hadoop-based Public Security Video Big Data Processing Method

LIU Yun-heng and LIU Yao-zong   

  • Online:2018-11-14 Published:2018-11-14

Abstract: Public security video surveillance technology has been developed from the integration phase of the network to the depth of the video application.Facing the continuous flow of public security video data,to study new big data processing means is necessary.According to the demand of public security video data,this paper adopted Hadoop technology based video data processing platform,and used face retrieval and recognition algorithm based on Map-Reduce,to realize the intelligent information processing of the public security video data to achieve the purpose of the application of the public security big data.

Key words: Public security video big data,Video intelligence analysis,Face recognition,Hadoop,Map-Reduce

[1] 吕益民,宫夏屹,聂春华.公安大数据处理平台的探索[J].广东公安科技,2014,22:13-18
[2] 孟祥广.大数据时代和智能视频分析技术[J].中国安防,2013,12:44-47
[3] 杨帆,沈奇威.分布式系统Hadoop平台的视频转码[J].计算机系统应用,2011,20(11):80-85
[4] 文卫蔚.利用MapReduce模型训练支持向量机的人脸识别方法[D].武汉:中南民族大学,2013
[5] S akhnarovich G,Fisher J W,Darrel l T.Face recognition from long-term observations[C]∥Proceedings of the European Conference on Computer Vision.Bari,2002:851-868
[6] Liu X M,Chen T,Thornton S M.Eigen space updating for non-stationary process and its application to face recognition[J].Pattern Recognition,2003,36(9):1945-1959
[7] Liu X M,Chen T.Video-based face recognition u sing adaptive hidden Markov models[C]∥Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition.Madison,2003:340-345
[8] Lee K C,Ho J,Yang M H,et al.Video-based face recognition using probabilistic appearance manifolds[C]∥Proceedings of the International IEEE Conference on Computer Vision and Pattern Recognition.Madison,2003:313-320
[9] Lee K C,Ho J,Yang M H,et al.Visual tracking and recognition using probabilistic appearance manifolds[J].Computer Vision and Image Understanding,2005,99(3):303-331
[10] Zhou S,Krueger V,Chellappa R.Probabilistic recognition of human faces from video[J].Computer Vision and Image Understanding,2003,91(1):214-245
[11] Zhou S,Chellappa R,Mogh addam B.Visual tracking and reco-gnition using appearance-adaptive models in particle filters[J].IEEE Transactions on Image Processing,2004,13(11):1434-1456
[12] Aggarw al G,Chowdhury A K R,Chellappa R.A system identification app roach for video-based face recognition[C]∥Proceedings of the IEEE International Conference on Pattern Re-cognition.Cambridge,2004:23-26
[13] Arandjelovi’c O,Cipolla R.Face recognition from face motion manifolds using robust kernel resistor average distance[C]∥Proceedings of the IEEE Conference on Compute Vision and Patter Recognition.Washington DC,2004:88-93
[14] Arandjelovi’c O,Shakhnarovich G,Fisher G,et al.Face recognition with image set s using manifold density divergence[C]∥Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.San Diego,2005:581-588
[15] Arandjelovi’c O,Cipolla R.A pose-wise linear illumination manif-old model for face recognition using video[J].Computer Vision and Image Understanding,2009,113(1):113-125
[16] Yamaguchi O,Fukui K,Maeda K.Face recognition using temporal image sequence[C]∥Proceedings of the IEEE International Conference on Automatic Face and Gesture Recognition.Nara,1998:318-323
[17] Fukui K,Yamaguchi O.Face recognition using multi-viewpoint patterns f or robot vision[C]∥Proceedings of the International Symposium of Robotics Research.Siena,Italy,2003:192-201
[18] Nishiyama M,Yamaguchi O,Fukui K.Face Recognition withthe multiple constrained mutual subspace method[C]∥Procee-dings of the 5th International Conference on Audio and Video-Based Biometric Person Authentication.New York,2005:71-80
[19] Li J W,Wang Y H,Tan T N.Video-based face recognition using a metric of average Euclidean distance[C]∥Proceedings of the 5th Chinese Conference on Biometric Recognition.Guangzhou,China,2004:224-232
[20] Li J W,Wang Y H,Tan T N.Video-based face recognition using earth mover’s distance[C]∥Proceedings of the International Conference on Audio-and Video-based person Authentication.New York,2005:229-239
[21] Fan W,Wang Y H,Tan T N.Video-based face recognition using Bayesian inference model[C]∥ Proceedings of the International Conference on Audio and Video-based Person Authentication.New York,2005:122-130
[22] 宛根训,田强,李建勇,等.公安大数据背景下的人脸识别技术进展[J].警察技术,2014(5):16-18

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!