메뉴 건너뛰기




Volumn , Issue , 2008, Pages 23-30

Enhancing change detection in low-quality surveillance footage using markov random fields

Author keywords

Change detection; Silhouette; Surveillance

Indexed keywords

CHANGE DETECTION; CHANGE DETECTION MASK; LOW QUALITIES; MARKOV RANDOM FIELDS; NOVEL TECHNIQUES; SURVEILLANCE TASK; URBAN SURVEILLANCE;

EID: 77950479175     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1461893.1461899     Document Type: Conference Paper
Times cited : (2)

References (22)
  • 1
    • 0344077921 scopus 로고    scopus 로고
    • Interactive graph cuts for optimal boundary and region segmentation of objects in N-D images
    • Y. Boykov and M.-P. Jolly. Interactive graph cuts for optimal boundary and region segmentation of objects in N-D images. In Proc ICCV, 2000.
    • (2000) Proc ICCV
    • Boykov, Y.1    Jolly, M.-P.2
  • 2
    • 4344598245 scopus 로고    scopus 로고
    • An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision
    • Y. Boykov and V. Kolmogorov. An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision. IEEE PAMI, 26(9), 2004.
    • (2004) IEEE PAMI , vol.26 , Issue.9
    • Boykov, Y.1    Kolmogorov, V.2
  • 3
    • 3042641311 scopus 로고    scopus 로고
    • Learning switching dynamic models for objects tracking
    • G. Celeux, J. S. Marques, and J. Nascimento. Learning switching dynamic models for objects tracking. Pattern Recognition, 37(9):1835-1840, 2004.
    • (2004) Pattern Recognition , vol.37 , Issue.9 , pp. 1835-1840
    • Celeux, G.1    Marques, J.S.2    Nascimento, J.3
  • 4
    • 77950481982 scopus 로고    scopus 로고
    • homepages.inf.ed.ac.uk/rbf/CVonline/ LOCAL-COPIES/CHETVERIKOV/mysquash/ node4.html
    • D. Chetverikov. CVOnline: Hausdorff distance. homepages.inf.ed.ac.uk/rbf/ CVonline/ LOCAL-COPIES/CHETVERIKOV/mysquash/node4.html.
    • CVOnline: Hausdorff Distance
    • Chetverikov, D.1
  • 5
    • 4544362752 scopus 로고
    • Incremental algorithms for finding the convex hulls of circles and the lower envelopes of parabolas
    • O. Devillers and M. Golin. Incremental algorithms for finding the convex hulls of circles and the lower envelopes of parabolas. Inform. Process. Lett., 56(3):157-164, 1995.
    • (1995) Inform. Process. Lett. , vol.56 , Issue.3 , pp. 157-164
    • Devillers, O.1    Golin, M.2
  • 6
    • 0442312138 scopus 로고    scopus 로고
    • Efficient kernel density estimation using the fast gauss transform with applications to color modeling and tracking
    • A. Elgammal, R. Duraiswami, and L. S. Davis. Efficient kernel density estimation using the fast gauss transform with applications to color modeling and tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(11):1499-1504, 2003.
    • (2003) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.25 , Issue.11 , pp. 1499-1504
    • Elgammal, A.1    Duraiswami, R.2    Davis, L.S.3
  • 9
    • 24644450302 scopus 로고    scopus 로고
    • Illumination-invariant tracking via graph cuts
    • D. Freedman and M. W. Turek. Illumination-invariant tracking via graph cuts. In Proc CVPR, 2005.
    • (2005) Proc CVPR
    • Freedman, D.1    Turek, M.W.2
  • 10
    • 84944054137 scopus 로고    scopus 로고
    • Pedestrian detection from a moving vehicle
    • D. Gavrila. Pedestrian detection from a moving vehicle. In Proc ECCV, pages 37-49, 2000.
    • (2000) Proc ECCV , pp. 37-49
    • Gavrila, D.1
  • 11
  • 12
    • 55449083232 scopus 로고    scopus 로고
    • A review of simd multimedia extensions and their usage in scientific and engineering applications
    • M. Hassaballah, S. Omran, and Y. B. Mahdy. A review of simd multimedia extensions and their usage in scientific and engineering applications. The Computer Journal, 2008.
    • (2008) The Computer Journal
    • Hassaballah, M.1    Omran, S.2    Mahdy, Y.B.3
  • 14
    • 0035158618 scopus 로고    scopus 로고
    • A robust motion detection and estimation filter for video signals
    • M. Latzel and J. K. Tsotsos. A robust motion detection and estimation filter for video signals. In Proc ICIP, 2001.
    • (2001) Proc ICIP
    • Latzel, M.1    Tsotsos, J.K.2
  • 15
    • 50649093781 scopus 로고    scopus 로고
    • Modeling view and posture manifolds for tracking
    • C.-S. Lee and A. Elgammal. Modeling view and posture manifolds for tracking. In Proc ICCV, 2007.
    • (2007) Proc ICCV
    • Lee, C.-S.1    Elgammal, A.2
  • 16
    • 50649104325 scopus 로고    scopus 로고
    • Hierarchical part-template matching for human detection and segmentation
    • Z. Lin, L. S. Davis, D. Doermann, and D. DeMenthon. Hierarchical part-template matching for human detection and segmentation. In Proc ICCV, 2007.
    • (2007) Proc ICCV
    • Lin, Z.1    Davis, L.S.2    Doermann, D.3    Dementhon, D.4
  • 17
  • 18
    • 77950511284 scopus 로고    scopus 로고
    • Human action recognition using robust power spectrum features
    • H. Ragheb, S. Velastin, P. Remagnino, and T. Ellis. Human action recognition using robust power spectrum features. In IEEE ICIP, 2008.
    • (2008) IEEE ICIP
    • Ragheb, H.1    Velastin, S.2    Remagnino, P.3    Ellis, T.4
  • 19
    • 77950469818 scopus 로고    scopus 로고
    • Simultaneous detection and segmentation of pedestrians
    • V. Sharma and J. W. Davis. Simultaneous detection and segmentation of pedestrians. In Proc ICCV, 2007.
    • (2007) Proc ICCV
    • Sharma, V.1    Davis, J.W.2
  • 21
    • 51949090071 scopus 로고    scopus 로고
    • Graph cut based image segmentation with connectivity priors
    • S. Vicente, V. Kolmogorov, and C. Rother. Graph cut based image segmentation with connectivity priors. In Proc CVPR, 2008.
    • (2008) Proc CVPR
    • Vicente, S.1    Kolmogorov, V.2    Rother, C.3
  • 22
    • 51949111853 scopus 로고    scopus 로고
    • Topology cuts: A novel Min-Cut/Max-Flow algorithm for topology preserving segmentation in N-D images
    • Stony Brook University
    • Y. Zeng, D. Samaras, W. Chen, and Q. Peng. Topology cuts: A novel Min-Cut/Max-Flow algorithm for topology preserving segmentation in N-D images. Technical report, Computer Science, Stony Brook University, 2007.
    • (2007) Technical Report, Computer Science
    • Zeng, Y.1    Samaras, D.2    Chen, W.3    Peng, Q.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.