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Volumn 2007, Issue , 2007, Pages

Tools for protecting the privacy of specific individuals in video

Author keywords

[No Author keywords available]

Indexed keywords

CONSTRAINT THEORY; DATA PRIVACY; DATA REDUCTION; IDENTIFICATION (CONTROL SYSTEMS); INFORMATION ANALYSIS; PROBLEM SOLVING;

EID: 33846785339     PISSN: 11108657     EISSN: 16870433     Source Type: Journal    
DOI: 10.1155/2007/75427     Document Type: Article
Times cited : (67)

References (27)
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    • 33749251117 scopus 로고    scopus 로고
    • Hiding privacy information in video surveillance system
    • cheung@engr.uky.edu wzhan4@engr.uky.edu minghua@eecs.berkeley.edu Genova, Italy
    • W. Zhang wzhan4@engr.uky.edu S.-C. S. Cheung cheung@engr.uky.edu M. Chen minghua@eecs.berkeley.edu Hiding privacy information in video surveillance system. Proceedings of International Conference on Image Processing (ICIP '05) Genova, Italy 3 2005 868 871
    • (2005) Proceedings of International Conference on Image Processing (ICIP '05) , vol.3 , pp. 868-871
    • Zhang, W.1    Cheung, S.-C.S.2    Chen, M.3
  • 8
    • 14644429006 scopus 로고    scopus 로고
    • Preserving privacy by de-identifying face images
    • latanya@andrew.cmu.edu enewton@andrew.cmu.edu malin@andrew.cmu.edu
    • E. M. Newton enewton@andrew.cmu.edu L. Sweeney latanya@andrew.cmu.edu B. Malin malin@andrew.cmu.edu Preserving privacy by de-identifying face images. IEEE Transactions on Knowledge and Data Engineering 17 2 2005 232 243
    • (2005) IEEE Transactions on Knowledge and Data Engineering , vol.17 , Issue.2 , pp. 232-243
    • Newton, E.M.1    Sweeney, L.2    Malin, B.3
  • 12
    • 0031648023 scopus 로고    scopus 로고
    • Example-based learning for view-based human face detection
    • sungkk@iscs.nus.edu.sg tp@ai.mit.edu
    • K.-K. Sung sungkk@iscs.nus.edu.sg T. Poggio tp@ai.mit.edu Example-based learning for view-based human face detection. IEEE Transactions on Pattern Analysis and Machine Intelligence 20 1 1998 39 51
    • (1998) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.20 , Issue.1 , pp. 39-51
    • Sung, K.-K.1    Poggio, T.2
  • 18
    • 0031676055 scopus 로고    scopus 로고
    • X vision: A portable substrate for real-time vision applications
    • hager@cs.yale.edu toyama@cs.yale.edu
    • G. D. Hager hager@cs.yale.edu K. Toyama toyama@cs.yale.edu X vision: a portable substrate for real-time vision applications. Computer Vision and Image Understanding 69 1 1998 23 37
    • (1998) Computer Vision and Image Understanding , vol.69 , Issue.1 , pp. 23-37
    • Hager, G.D.1    Toyama, K.2
  • 23
    • 33645307063 scopus 로고    scopus 로고
    • Background and foreground modeling using nonparametric kernel density estimation for visual surveillance
    • harwood@umiacs.umd.edu ramani@umiacs.umd.edu elgammal@cs.umd.edu lsd@cs.umd.edu
    • A. Elgammal elgammal@cs.umd.edu R. Duraiswami ramani@umiacs.umd.edu D. Harwood harwood@umiacs.umd.edu L. S. Davis lsd@cs.umd.edu Background and foreground modeling using nonparametric kernel density estimation for visual surveillance. Proceedings of the IEEE 90 7 2002 1151 1163
    • (2002) Proceedings of the IEEE , vol.90 , Issue.7 , pp. 1151-1163
    • Elgammal, A.1    Duraiswami, R.2    Harwood, D.3    Davis, L.S.4
  • 24
    • 5044232548 scopus 로고    scopus 로고
    • A discriminative learning framework with pairwise constraints for video object classification
    • yang+@cs.cmu.edu jianzhan@cs.cmu.edu yanrong@cs.cmu.edu alex+@cs.cmu.edu Washington, DC, USA
    • R. Yan yanrong@cs.cmu.edu J. Zhang jianzhan@cs.cmu.edu J. Yang yang+@cs.cmu.edu A. Hauptmann alex+@cs.cmu.edu A discriminative learning framework with pairwise constraints for video object classification. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR '04) Washington, DC, USA 2 2004 284 293
    • (2004) Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR '04) , vol.2 , pp. 284-293
    • Yan, R.1    Zhang, J.2    Yang, J.3    Hauptmann, A.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.