박사

빅 데이터 플랫폼 기반 감시 데이터 큐브의 설계 및 구현 = Design and implementation of a surveillance data cube based on big data platform

오승근 2015년
논문상세정보
' 빅 데이터 플랫폼 기반 감시 데이터 큐브의 설계 및 구현 = Design and implementation of a surveillance data cube based on big data platform' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • big data analysis
  • data cube
  • hadoop
  • pattern recognition
  • surveillance
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
555 0

0.0%

' 빅 데이터 플랫폼 기반 감시 데이터 큐브의 설계 및 구현 = Design and implementation of a surveillance data cube based on big data platform' 의 참고문헌

  • Y. Shi, Y. Gao, and R. Wang, “Real-Time Abnormal Event Detection inComplicated Scenes,” The 20th International Conference on PatternRecognition, pp. 3653-3656, 2010.
  • Y. Li, T. Lin, X. Tan, "Mahalanobis Distance Based Non-negative SparseRepresentation for Face Recognition," International Conference on MachineLearning and Applications, pp.41-46, 2009.
  • Y. Cho, S. Jang, "Implementation of Intelligent Speech Recognition Systemaccording to CCTV Emergency Information," Journal of Korea IntelligentInformation System Society 2009, Vol.19, No.3, pp.415-420, 2009.
  • X. Wu, H. Gong, P. Chen, Z. Zhong, Y. Xu, "Surveillance Robot UtilizingVideo and Audio Information," Journal of Intelligent Robot System, Vol.55,No.4-5, pp.403-421, 2009.
  • UMN Database Available at : http://mha.cs.umn.edu/Movies./Crowd-Activity-All.avi
  • Tosa Database Available at : http://tosa.mri.co.jp/sounddb/indexe.htm.2000
  • T. Zho, R. Nevatia, and B. Wu, "Segmentation and Tracking of Multiple Humanin Crowded Environments," IEEE Transactions on Pattern Analysis and MacihneIntelligence, Vol. 30, No. 7, pp. 1198-1211, 2008.
  • T. Lim, K. Bae, C. Hwang, H. Lee, "Classification of Underwater TransientSignals Using MFCC Feature Vector," Information & Communications Magazine,Vol.32, No.8, pp.675-680, 2007.
  • Sound Effect Library Available at : http://sound-effects-library.com/
  • S. Pathan, A. Al-Hamadi, and B. Michaelis,“Incorporating Social Entropy forCrowd Behavior Detection Using SVM,” ISVC 2010, pp. 153-162, 2010.
  • S. Ntalampiras, I. Potamitis, N. Fakotakis, "On Acoustic Surveillance ofHazardous Situations," ICASSP 2009, pp.165-168, 2009.
  • S. Lee, and R. Nevatia, "Hierarchical Abnormal Event Detection by Real Timeand Semi-real Time Multi Tasking Video Surveillance System," MachineVision and Applications, Vol. 25, No, 1, pp. 133-143, 2013.
  • S. Lee, J. Kim, Y. Moon, and W. Lee, "Efficient Distirubted ParallelTop-Down Computation of ROLAP Data Cube Using Mapreduce," Data Warehousingand Knowledge Discovery Lecture Notes in Computer Sciece, Vol. 7448, pp.168-179, 2012.
  • S. K. Kapotas and A. N. Skodras, “Moving Object Detection in the H.264Compressed Domain,” Image System and Technique(IST) 2010 IEEEInternational Conference, pp. 325-328, 2010.
  • R. Mehran, A. Oyama, and M. Shah, “Abnormal Crowd Behavior Detection UsingSocial Force Model,” IEEE International Conference on Computer Vision andPattern Recognition (CVPR 2009), pp. 935-942, 2009.
  • PETS Database Available at : http://www.cvg.rdg.ac.uk/PETS2009
  • N. Kiryati, T. Raviv, Y. Invanchenko, and S. Rochel, “Real-time AbnormalMotion Detection in Surveillance Video,” The 19th International Conferenceon Pattern Recognition (ICPR 2008), pp. 1-4, 2008.
  • L. Zhang, D. V. Kalashinkov, S. Mehrota, R. Vaisenberg, "Context-basedPerson Identification Fraemwork for Samrt Video Surveillance," MachineVision and Application, Vol. 25, No. 7, pp. 1711-1725, 2014.
  • K. Li, J. Liang, C. Fan, K. Wu, Yi. Lin, T. Lin, and Y. Tseng, "AWeb-based, Real-time Video Surveillance System by Leveraging PTZ Cameras,"2015 IEEE Tenth International Conference, pp. 1-1, 2015.
  • JM8.6 Available at : http://iphome.hhi.de/suehring/tml/
  • J. Wright, A. Yang, A. Ganesh, S. Sastry, M. Yi, "Robust Face Recognitionvia Sparse Representation," IEEE Transactions on Pattern Analysis andMachine Intelligent, Vol.31, No.2, pp.201-227, 2009.
  • J. Jeon, J. Park, I. Kang, T. Ahn, and G. Park, "A Study on ObjectDetection Algorithm for Abdone and Removed Objects for Real-timeIntelligent Surveillance System," Journal of KIIS, Vol. 35, No.1, pp.24-32, 2009.
  • J. Davis and M. Goadrich, “The Relationship between Precision-Recall andROC Curves,” In Proceedings of the 23rd International Conference on MachineLearning, pp. 233-240, 2006.
  • H.264/AVC 압축영역에서의 동영상검색
    김성민 변주완 원치선 전자공학회논문지SP편 Vol. 43 No. 5, pp. 485-491 [2006]
  • Grsites Database Available at : http://www.grsites.com/
  • G. Valenzise, L. Gerosa, M. Tagliasacchi, F. Antonacci, A. Sarti, "Screamand Gunshot Detection and Localization for Audio Surveillance System," IEEEInternational Conference on Advanced Video and Signal Based Surveillance(VSS 2007), pp.21-26, 2007.
  • Eonardosoft Database Available at : http://www.leonardosoft.com
  • D. Tax and R. Duin, "Uniform Object Generation for Ptimizaing One-ClassClassifiers," Journal of Machine Learning Research, Vol. 2, pp. 155-173,2001.
  • B. Behera, N. Murali, and S. Satya, "Development of Tele-Alarm and FireProtection System using Remote Terminal Unit for Nucler Power Platn,"Robotics, Automation, Control and Embeded Systems (RACE), pp. 1-5, 2015.
  • A. Rabaou, M. Davy, S. Rossignol. N. Ellouze, "Using One-Class SVMs andWaveletes for Audio Surveillance," IEEE Transactions on InformationForensics and Security, vol.3, no.4, pp.763-775, 2008.
  • A. Nandi, C. Yu, P. Bohannon, and R. Ramakrishnan, "Data CubeMaterialization and Mining over MapReduce," IEEE Transactions on Knowledgeand Data Engineering, Vol. 24, No. 19, pp.1747-1759