메뉴 건너뛰기




Volumn , Issue , 2013, Pages 1798-1805

Detection evolution with multi-order contextual co-occurrence

Author keywords

Context; Detection

Indexed keywords

CO-OCCURRENCE; CONTEXT; CONTEXT FEATURES; DEFORMABLE PART MODELS; OBJECT DETECTION; OBJECT DETECTORS; ORIGINAL IMAGES; STATE-OF-THE-ART APPROACH;

EID: 84887357644     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2013.235     Document Type: Conference Paper
Times cited : (83)

References (36)
  • 1
    • 35148884633 scopus 로고    scopus 로고
    • SpatialBoost: Adding spatial reasoning to adaboost
    • 2
    • S. Avidan. SpatialBoost: adding spatial reasoning to adaboost. In ECCV, 2006. 2
    • (2006) ECCV
    • Avidan, S.1
  • 3
    • 79952521625 scopus 로고    scopus 로고
    • Brief: Binary robust independent elementary features
    • 2, 3
    • M. Calonder, V. Lepetit, C. Strecha, and P. Fua. Brief: Binary robust independent elementary features. In ECCV, 2010. 2, 3
    • (2010) ECCV
    • Calonder, M.1    Lepetit, V.2    Strecha, C.3    Fua, P.4
  • 4
    • 24144486461 scopus 로고    scopus 로고
    • A statistical model for general contextual object recognition
    • 2
    • P. Carbonetto, N. de Freitas, and K. Barnard. A statistical model for general contextual object recognition. In ECCV, 2004. 2
    • (2004) ECCV
    • Carbonetto, P.1    De Freitas, N.2    Barnard, K.3
  • 5
    • 33645146449 scopus 로고    scopus 로고
    • Histograms of oriented gradients for human detection
    • 2
    • N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. In CVPR, 2005. 2
    • (2005) CVPR
    • Dalal, N.1    Triggs, B.2
  • 6
    • 84866724839 scopus 로고    scopus 로고
    • Contextual boost for pedestrian detection
    • 1, 2, 4, 5, 6, 7, 8
    • Y. Ding and J. Xiao. Contextual boost for pedestrian detection. In CVPR, 2012. 1, 2, 4, 5, 6, 7, 8
    • (2012) CVPR
    • Ding, Y.1    Xiao, J.2
  • 7
    • 84862144388 scopus 로고    scopus 로고
    • Pedestrian detection: An evaluation of the state of the art
    • 1, 2, 6, 7
    • P. Dollár, C. Wojek, B. Schiele, and P. Perona. Pedestrian detection: An evaluation of the state of the art. PAMI, 2011. 1, 2, 6, 7
    • (2011) PAMI
    • Dollár, P.1    Wojek, C.2    Schiele, B.3    Perona, P.4
  • 9
  • 10
    • 77955422240 scopus 로고    scopus 로고
    • Object detection with discriminatively trained part-based models
    • 1, 4, 5, 6, 7
    • P. F. Felzenszwalb, R. B. Girshick, D. A. McAllester, and D. Ramanan. Object detection with discriminatively trained part-based models. PAMI, 2010. 1, 4, 5, 6, 7
    • (2010) PAMI
    • Felzenszwalb, P.F.1    Girshick, R.B.2    McAllester, D.A.3    Ramanan, D.4
  • 11
    • 0035371148 scopus 로고    scopus 로고
    • An adaptive version of the boost by majority algorithm
    • 5
    • Y. Freund. An adaptive version of the boost by majority algorithm. Machine Learning, 2001. 5
    • (2001) Machine Learning
    • Freund, Y.1
  • 12
  • 14
    • 70449582001 scopus 로고    scopus 로고
    • Learning spatial context: Using stuff to find things
    • 2
    • G. Heitz and D. Koller. Learning spatial context: Using stuff to find things. In ECCV, 2008. 2
    • (2008) ECCV
    • Heitz, G.1    Koller, D.2
  • 15
  • 16
    • 0344983340 scopus 로고    scopus 로고
    • Detecting pedestrians using patterns of motion and appearance
    • 1
    • M. Jones, P. Viola, P. Viola, M. J. Jones, D. Snow, and D. Snow. Detecting pedestrians using patterns of motion and appearance. In ICCV, 2003. 1
    • (2003) ICCV
    • Jones, M.1    Viola, P.2    Viola, P.3    Jones, M.J.4    Snow, D.5    Snow, D.6
  • 17
    • 84898409654 scopus 로고    scopus 로고
    • Higher-order co-occurrence features based on discriminative co-clusters for image classification
    • 2, 4
    • T. Kobayashi. Higher-order co-occurrence features based on discriminative co-clusters for image classification. In BMVC, 2012. 2, 4
    • (2012) BMVC
    • Kobayashi, T.1
  • 18
    • 78149487505 scopus 로고    scopus 로고
    • Bag of hierarchical co-occurrence features for image classification
    • 2
    • T. Kobayashi and N. Otsu. Bag of hierarchical co-occurrence features for image classification. In ICPR, 2010. 2
    • (2010) ICPR
    • Kobayashi, T.1    Otsu, N.2
  • 19
    • 84863018717 scopus 로고    scopus 로고
    • Extracting adaptive contextual cues from unlabeled regions
    • 1, 3, 8
    • C. Li, D. Parikh, and T. Chen. Extracting adaptive contextual cues from unlabeled regions. In ICCV, 2011. 1, 3, 8
    • (2011) ICCV
    • Li, C.1    Parikh, D.2    Chen, T.3
  • 20
    • 50949105782 scopus 로고    scopus 로고
    • Proximity distribution kernels for geometric context in category recognition
    • 2
    • H. Ling and S. Soatto. Proximity distribution kernels for geometric context in category recognition. In ICCV, 2007. 2
    • (2007) ICCV
    • Ling, H.1    Soatto, S.2
  • 21
    • 24644521635 scopus 로고    scopus 로고
    • Human detection based on a probabilistic assembly of robust part detectors
    • 1
    • K. Mikolajczyk, C. Schmid, and A. Zisserman. Human detection based on a probabilistic assembly of robust part detectors. In ECCV, 2004. 1
    • (2004) ECCV
    • Mikolajczyk, K.1    Schmid, C.2    Zisserman, A.3
  • 23
    • 34948910140 scopus 로고    scopus 로고
    • Using segmentation to verify object hypotheses
    • 2
    • D. Ramanan. Using segmentation to verify object hypotheses. In CVPR, 2007. 2
    • (2007) CVPR
    • Ramanan, D.1
  • 25
    • 0033682228 scopus 로고    scopus 로고
    • A statistical method for 3d object detection applied to faces and cars
    • 1
    • H. Schneiderman and T. Kanade. A statistical method for 3d object detection applied to faces and cars. In CVPR, 2000. 1
    • (2000) CVPR
    • Schneiderman, H.1    Kanade, T.2
  • 26
    • 80052891624 scopus 로고    scopus 로고
    • Contextualizing object detection and classification
    • 1, 8
    • Z. Song, Q. Chen, Z. Huang, Y. Hua, and S. Yan. Contextualizing object detection and classification. In CVPR, 2011. 1, 8
    • (2011) CVPR
    • Song, Z.1    Chen, Q.2    Huang, Z.3    Hua, Y.4    Yan, S.5
  • 27
    • 0037500818 scopus 로고    scopus 로고
    • Contextual priming for object detection
    • 2
    • A. Torralba. Contextual priming for object detection. IJCV, 2003. 2
    • (2003) IJCV
    • Torralba, A.1
  • 28
    • 33745888873 scopus 로고    scopus 로고
    • Contextual models for object detection using boosted random fields
    • 2
    • A. Torralba, K. P. Murphy, and W. T. Freeman. Contextual models for object detection using boosted random fields. In NIPS, 2004. 2
    • (2004) NIPS
    • Torralba, A.1    Murphy, K.P.2    Freeman, W.T.3
  • 29
    • 77956051102 scopus 로고    scopus 로고
    • Auto-context and its application to high-level vision tasks and 3d brain image segmentation
    • 2
    • Z. Tu and X. Bai. Auto-context and its application to high-level vision tasks and 3d brain image segmentation. PAMI, 2010. 2
    • (2010) PAMI
    • Tu, Z.1    Bai, X.2
  • 30
    • 71149100224 scopus 로고    scopus 로고
    • More generality in efficient multiple kernel learning
    • 5
    • M. Varma and B. R. Babu. More generality in efficient multiple kernel learning. In ICML, 2009. 5
    • (2009) ICML
    • Varma, M.1    Babu, B.R.2
  • 32
    • 2142812371 scopus 로고    scopus 로고
    • Robust real-time face detection
    • 1
    • P. Viola and M. Jones. Robust real-time face detection. IJCV, 2004. 1
    • (2004) IJCV
    • Viola, P.1    Jones, M.2
  • 33
    • 85020603202 scopus 로고    scopus 로고
    • An hog-lbp human detector with partial occlusion handling
    • 7
    • X. Wang, X. Han, and S. Yan. An hog-lbp human detector with partial occlusion handling. In ICCV, 2009. 7
    • (2009) ICCV
    • Wang, X.1    Han, X.2    Yan, S.3
  • 34
    • 84863038460 scopus 로고    scopus 로고
    • Spatial pyramid co-occurrence for image classification
    • 2
    • Y. Yang and S. Newsam. Spatial pyramid co-occurrence for image classification. In ICCV, 2011. 2
    • (2011) ICCV
    • Yang, Y.1    Newsam, S.2
  • 35
    • 84866670353 scopus 로고    scopus 로고
    • Boosted local structured hog-lbp for object localization
    • 1, 8
    • J. Zhang, K. Huang, Y. Yu, and T. Tan. Boosted local structured hog-lbp for object localization. In CVPR, 2010. 1, 8
    • (2010) CVPR
    • Zhang, J.1    Huang, K.2    Yu, Y.3    Tan, T.4
  • 36
    • 77955986466 scopus 로고    scopus 로고
    • Latent hierarchical structural learning for object detection
    • 1, 8
    • L. Zhu, Y. Chen, A. L. Yuille, andW. T. Freeman. Latent hierarchical structural learning for object detection. In CVPR, 2010. 1, 8
    • (2010) CVPR
    • Zhu, L.1    Chen, Y.2    Yuille, A.L.3    Freeman, A.T.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.