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Volumn , Issue , 2014, Pages 654-659

Efficient non-iterative domain adaptation of pedestrian detectors to video scenes

Author keywords

[No Author keywords available]

Indexed keywords

PATTERN RECOGNITION;

EID: 84919897442     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2014.123     Document Type: Conference Paper
Times cited : (16)

References (21)
  • 2
    • 70350620710 scopus 로고    scopus 로고
    • Monocular pedestrian detection: Survey and experiments
    • M. Enzweiler and D. M. Gavrila, "Monocular pedestrian detection: Survey and experiments, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 31, no. 12, pp. 2179-2195, 2009.
    • (2009) IEEE Trans. Pattern Anal. Mach. Intell , vol.31 , Issue.12 , pp. 2179-2195
    • Enzweiler, M.1    Gavrila, D.M.2
  • 3
    • 70450202512 scopus 로고    scopus 로고
    • Pedestrian detection: A benchmark
    • P. Dollá r, C. Wojek, B. Schiele, and P. Perona, "Pedestrian detection: A benchmark, " in CVPR, 2009, pp. 304-311.
    • (2009) CVPR , pp. 304-311
    • Dollár, P.1    Wojek, C.2    Schiele, B.3    Perona, P.4
  • 4
    • 79954420107 scopus 로고    scopus 로고
    • Classifier grids for robust adaptive object detection
    • P. M. Roth, S. Sternig, H. Grabner, and H. Bischof, "Classifier grids for robust adaptive object detection, " in CVPR, 2009, pp. 2727-2734.
    • (2009) CVPR , pp. 2727-2734
    • Roth, P.M.1    Sternig, S.2    Grabner, H.3    Bischof, H.4
  • 5
    • 74549152521 scopus 로고    scopus 로고
    • Rapport Interne, Comp. Sc. Dep. at Univ. of Illinois. Sifaka. Cs. Uiuc. edu/jiang4/domain Adaptation/survey/da Survey. Pdf
    • J. Jiang, "A literature survey on domain adaptation of statistical classifiers, " Rapport interne, Comp. Sc. Dep. at Univ. of Illinois. sifaka. cs. uiuc. edu/jiang4/domain adaptation/survey/da survey. pdf, 2008.
    • (2008) A literature survey on domain adaptation of statistical classifiers
    • Jiang, J.1
  • 6
    • 84862280210 scopus 로고    scopus 로고
    • Frustratingly easy domain adaptation
    • abs/0907.1815
    • H. D. III, "Frustratingly easy domain adaptation, " CoRR, vol. abs/0907.1815, 2009.
    • (2009) CoRR
  • 7
    • 84866688297 scopus 로고    scopus 로고
    • Transferring a generic pedestrian detector towards specific scenes
    • M. Wang, W. Li, and X. Wang, "Transferring a generic pedestrian detector towards specific scenes, " in CVPR, 2012, pp. 3274-3281.
    • (2012) CVPR , pp. 3274-3281
    • Wang, M.1    Li, W.2    Wang, X.3
  • 8
    • 80052885969 scopus 로고    scopus 로고
    • Automatic adaptation of a generic pedestrian detector to a specific traffic scene
    • M. Wang and X. Wang, "Automatic adaptation of a generic pedestrian detector to a specific traffic scene, " in CVPR, 2011, pp. 3401-3408.
    • (2011) CVPR , pp. 3401-3408
    • Wang, M.1    Wang, X.2
  • 9
    • 35348895580 scopus 로고    scopus 로고
    • Semi-supervised selftraining of object detection models
    • C. Rosenberg, M. Hebert, and H. Schneiderman, "Semi-supervised selftraining of object detection models, " in WACV/MOTION, 2005, pp. 29-36.
    • (2005) WACV/MOTION , pp. 29-36
    • Rosenberg, C.1    Hebert, M.2    Schneiderman, H.3
  • 11
    • 5044235916 scopus 로고    scopus 로고
    • An unsupervised, online learning framework for moving object detection
    • V. Nair and J. J. Clark, "An unsupervised, online learning framework for moving object detection, " in CVPR (2), 2004, pp. 317-324.
    • (2004) CVPR , Issue.2 , pp. 317-324
    • Nair, V.1    Clark, J.J.2
  • 13
    • 77950615380 scopus 로고    scopus 로고
    • Exploring context to learn scene specific object detectors
    • S. Stalder, H. Grabner, and L. Gool, "Exploring context to learn scene specific object detectors, " in Proc. PETS, 2009.
    • (2009) Proc. PETS
    • Stalder, S.1    Grabner, H.2    Gool, L.3
  • 14
    • 84866691941 scopus 로고    scopus 로고
    • Detection by detections: Nonparametric detector adaptation for a video
    • X. Wang, G. Hua, and T. X. Han, "Detection by detections: Nonparametric detector adaptation for a video, " in CVPR, 2012, pp. 350-357.
    • (2012) CVPR , pp. 350-357
    • Wang, X.1    Hua, G.2    Han, T.X.3
  • 15
    • 84863396387 scopus 로고    scopus 로고
    • Domain adaptation for object recognition: An unsupervised approach
    • R. Gopalan, R. Li, and R. Chellappa, "Domain adaptation for object recognition: An unsupervised approach, " in ICCV, 2011, pp. 999-1006.
    • (2011) ICCV , pp. 999-1006
    • Gopalan, R.1    Li, R.2    Chellappa, R.3
  • 16
    • 84866657270 scopus 로고    scopus 로고
    • Geodesic flow kernel for unsupervised domain adaptation
    • B. Gong, Y. Shi, F. Sha, and K. Grauman, "Geodesic flow kernel for unsupervised domain adaptation, " in CVPR, 2012, pp. 2066-2073.
    • (2012) CVPR , pp. 2066-2073
    • Gong, B.1    Shi, Y.2    Sha, F.3    Grauman, K.4
  • 17
    • 33745173515 scopus 로고    scopus 로고
    • Online detection and classification of moving objects using progressively improving detectors
    • O. Javed, S. Ali, and M. Shah, "Online detection and classification of moving objects using progressively improving detectors, " in CVPR (1), 2005, pp. 696-701.
    • (2005) CVPR , Issue.1 , pp. 696-701
    • Javed, O.1    Ali, S.2    Shah, M.3
  • 18
    • 80052911160 scopus 로고    scopus 로고
    • Online domain adaptation of a pretrained cascade of classifiers
    • V. Jain and E. G. Learned-Miller, "Online domain adaptation of a pretrained cascade of classifiers, " in CVPR, 2011, pp. 577-584.
    • (2011) CVPR , pp. 577-584
    • Jain, V.1    Learned-Miller, E.G.2
  • 20
    • 33645146449 scopus 로고    scopus 로고
    • Histograms of oriented gradients for human detection
    • N. Dalal and B. Triggs, "Histograms of oriented gradients for human detection, " in CVPR (1), 2005, pp. 886-893.
    • (2005) CVPR , Issue.1 , pp. 886-893
    • Dalal, N.1    Triggs, B.2


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