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Volumn 07-12-June-2015, Issue , 2015, Pages 4657-4666

Deeply learned attributes for crowded scene understanding

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION;

EID: 84959200559     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2015.7299097     Document Type: Conference Paper
Times cited : (285)

References (49)
  • 1
    • 35148868709 scopus 로고    scopus 로고
    • A lagrangian particle dynamics approach for crowd flow segmentation and stability analysis
    • S. Ali and M. Shah. A lagrangian particle dynamics approach for crowd flow segmentation and stability analysis. In CVPR, 2007.
    • (2007) CVPR
    • Ali, S.1    Shah, M.2
  • 2
    • 70450209996 scopus 로고    scopus 로고
    • Floor fields for tracking in high density crowd scenes
    • S. Ali and M. Shah. Floor fields for tracking in high density crowd scenes. In ECCV. 2008.
    • (2008) ECCV
    • Ali, S.1    Shah, M.2
  • 3
    • 34047198977 scopus 로고    scopus 로고
    • Modelling crowd scenes for event detection
    • E. L. Andrade, S. Blunsden, and R. B. Fisher. Modelling crowd scenes for event detection. In ICPR, 2006.
    • (2006) ICPR
    • Andrade, E.L.1    Blunsden, S.2    Fisher, R.B.3
  • 4
    • 80052896727 scopus 로고    scopus 로고
    • Automatic attribute discovery and characterization from noisy web data
    • T. L. Berg, A. C. Berg, and J. Shih. Automatic attribute discovery and characterization from noisy web data. In ECCV. 2010.
    • (2010) ECCV
    • Berg, T.L.1    Berg, A.C.2    Shih, J.3
  • 6
    • 51949104316 scopus 로고    scopus 로고
    • Privacy preserving crowd monitoring: Counting people without people models or tracking
    • A. B. Chan, Z.-S. Liang, and N. Vasconcelos. Privacy preserving crowd monitoring: Counting people without people models or tracking. In CVPR, 2008.
    • (2008) CVPR
    • Chan, A.B.1    Liang, Z.-S.2    Vasconcelos, N.3
  • 7
    • 41749099043 scopus 로고    scopus 로고
    • Modeling, clustering, and segmenting video with mixtures of dynamic textures
    • A. B. Chan and N. Vasconcelos. Modeling, clustering, and segmenting video with mixtures of dynamic textures. TPAMI, 30(5):909-926, 2008.
    • (2008) TPAMI , vol.30 , Issue.5 , pp. 909-926
    • Chan, A.B.1    Vasconcelos, N.2
  • 8
    • 42449134506 scopus 로고    scopus 로고
    • Collective motion of self-propelled particles interacting without cohesion
    • H. Chaté, F. Ginelli, G. Grégoire, and F. Raynaud. Collective motion of self-propelled particles interacting without cohesion. Physical Review E, 77(4):046113, 2008.
    • (2008) Physical Review e , vol.77 , Issue.4 , pp. 046113
    • Chaté, H.1    Ginelli, F.2    Grégoire, G.3    Raynaud, F.4
  • 9
    • 84898455547 scopus 로고    scopus 로고
    • Feature mining for localised crowd counting
    • K. Chen, C. C. Loy, S. Gong, and T. Xiang. Feature mining for localised crowd counting. In BMVC, 2012.
    • (2012) BMVC
    • Chen, K.1    Loy, C.C.2    Gong, S.3    Xiang, T.4
  • 10
    • 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, 2005.
    • (2005) CVPR
    • Dalal, N.1    Triggs, B.2
  • 12
    • 33846980853 scopus 로고    scopus 로고
    • What do we perceive in a glance of a real-world scene
    • L. Fei-Fei, A. Iyer, C. Koch, and P. Perona. What do we perceive in a glance of a real-world scene? Journal of vision, 7(1):10, 2007.
    • (2007) Journal of Vision , vol.7 , Issue.1 , pp. 10
    • Fei-Fei, L.1    Iyer, A.2    Koch, C.3    Perona, P.4
  • 13
    • 84887386033 scopus 로고    scopus 로고
    • Attribute learning for understanding unstructured social activity
    • Y. Fu, T. M. Hospedales, T. Xiang, and S. Gong. Attribute learning for understanding unstructured social activity. In ECCV. 2012.
    • (2012) ECCV
    • Fu, Y.1    Hospedales, T.M.2    Xiang, T.3    Gong, S.4
  • 14
    • 84864980012 scopus 로고    scopus 로고
    • Violent flows: Real-time detection of violent crowd behavior
    • T. Hassner, Y. Itcher, and O. Kliper-Gross. Violent flows: Real-time detection of violent crowd behavior. In CVPR, 2012.
    • (2012) CVPR
    • Hassner, T.1    Itcher, Y.2    Kliper-Gross, O.3
  • 15
    • 77955987444 scopus 로고    scopus 로고
    • A markov clustering topic model for mining behaviour in video
    • T. Hospedales, S. Gong, and T. Xiang. A markov clustering topic model for mining behaviour in video. In CVPR, 2009.
    • (2009) CVPR
    • Hospedales, T.1    Gong, S.2    Xiang, T.3
  • 18
    • 70450214749 scopus 로고    scopus 로고
    • Anomaly detection in extremely crowded scenes using spatio-temporal motion pattern models
    • L. Kratz and K. Nishino. Anomaly detection in extremely crowded scenes using spatio-temporal motion pattern models. In CVPR, 2009.
    • (2009) CVPR
    • Kratz, L.1    Nishino, K.2
  • 19
    • 77953185711 scopus 로고    scopus 로고
    • Attribute and simile classifiers for face verification
    • N. Kumar, A. C. Berg, P. N. Belhumeur, and S. K. Nayar. Attribute and simile classifiers for face verification. In ICCV, 2009.
    • (2009) ICCV
    • Kumar, N.1    Berg, A.C.2    Belhumeur, P.N.3    Nayar, S.K.4
  • 20
    • 70450172710 scopus 로고    scopus 로고
    • Learning to detect unseen object classes by between-class attribute transfer
    • C. H. Lampert, H. Nickisch, and S. Harmeling. Learning to detect unseen object classes by between-class attribute transfer. In CVPR, 2009.
    • (2009) CVPR
    • Lampert, C.H.1    Nickisch, H.2    Harmeling, S.3
  • 21
    • 33845572523 scopus 로고    scopus 로고
    • Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories
    • S. Lazebnik, C. Schmid, and J. Ponce. Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories. In CVPR, 2006.
    • (2006) CVPR
    • Lazebnik, S.1    Schmid, C.2    Ponce, J.3
  • 22
    • 74049163010 scopus 로고    scopus 로고
    • Scene segmentation for behaviour correlation
    • J. Li, S. Gong, and T. Xiang. Scene segmentation for behaviour correlation. In ECCV. 2008.
    • (2008) ECCV
    • Li, J.1    Gong, S.2    Xiang, T.3
  • 23
    • 80052915325 scopus 로고    scopus 로고
    • Recognizing human actions by attributes
    • J. Liu, B. Kuipers, and S. Savarese. Recognizing human actions by attributes. In CVPR, 2011.
    • (2011) CVPR
    • Liu, J.1    Kuipers, B.2    Savarese, S.3
  • 24
    • 70450171456 scopus 로고    scopus 로고
    • Multi-camera activity correlation analysis
    • C. C. Loy, T. Xiang, and S. Gong. Multi-camera activity correlation analysis. In CVPR, 2009.
    • (2009) CVPR
    • Loy, C.C.1    Xiang, T.2    Gong, S.3
  • 25
    • 84898796864 scopus 로고    scopus 로고
    • A deep sum-product architecture for robust facial attributes analysis
    • P. Luo, X. Wang, and X. Tang. A deep sum-product architecture for robust facial attributes analysis. In ICCV, 2013.
    • (2013) ICCV
    • Luo, P.1    Wang, X.2    Tang, X.3
  • 27
    • 70450255364 scopus 로고    scopus 로고
    • Abnormal crowd behavior detection using social force model
    • R. Mehran, A. Oyama, and M. Shah. Abnormal crowd behavior detection using social force model. In CVPR, 2009.
    • (2009) CVPR
    • Mehran, R.1    Oyama, A.2    Shah, M.3
  • 28
    • 0035328421 scopus 로고    scopus 로고
    • Modeling the shape of the scene: A holistic representation of the spatial envelope
    • A. Oliva and A. Torralba. Modeling the shape of the scene: A holistic representation of the spatial envelope. IJCV, 42(3):145-175, 2001.
    • (2001) IJCV , vol.42 , Issue.3 , pp. 145-175
    • Oliva, A.1    Torralba, A.2
  • 30
    • 80052900722 scopus 로고    scopus 로고
    • Interactively building a discriminative vocabulary of nameable attributes
    • D. Parikh and K. Grauman. Interactively building a discriminative vocabulary of nameable attributes. In CVPR, 2011.
    • (2011) CVPR
    • Parikh, D.1    Grauman, K.2
  • 31
    • 84866637964 scopus 로고    scopus 로고
    • Sun attribute database: Discovering, annotating, and recognizing scene attributes
    • G. Patterson and J. Hays. Sun attribute database: Discovering, annotating, and recognizing scene attributes. In CVPR, 2012.
    • (2012) CVPR
    • Patterson, G.1    Hays, J.2
  • 33
    • 84911388960 scopus 로고    scopus 로고
    • Scene-independent group profiling in crowd
    • J. Shao, C. C. Loy, and X. Wang. Scene-independent group profiling in crowd. In CVPR, 2014.
    • (2014) CVPR
    • Shao, J.1    Loy, C.C.2    Wang, X.3
  • 34
    • 34948845616 scopus 로고    scopus 로고
    • Matching local self-similarities across images and videos
    • E. Shechtman and M. Irani. Matching local self-similarities across images and videos. In CVPR, 2007.
    • (2007) CVPR
    • Shechtman, E.1    Irani, M.2
  • 35
    • 84937862424 scopus 로고    scopus 로고
    • Two-stream convolutional networks for action recognition in videos
    • K. Simonyan and A. Zisserman. Two-stream convolutional networks for action recognition in videos. In NIPS, 2014.
    • (2014) NIPS
    • Simonyan, K.1    Zisserman, A.2
  • 37
    • 77955996870 scopus 로고    scopus 로고
    • Locality-constrained linear coding for image classification
    • J. Wang, J. Yang, K. Yu, F. Lv, T. Huang, and Y. Gong. Locality-constrained linear coding for image classification. In CVPR, 2010.
    • (2010) CVPR
    • Wang, J.1    Yang, J.2    Yu, K.3    Lv, F.4    Huang, T.5    Gong, Y.6
  • 38
    • 63849117955 scopus 로고    scopus 로고
    • Unsupervised activity perception in crowded and complicated scenes using hierarchical Bayesian models
    • X. Wang, X. Ma, and W. E. L. Grimson. Unsupervised activity perception in crowded and complicated scenes using hierarchical Bayesian models. TPAMI, 31(3):539-555, 2009.
    • (2009) TPAMI , vol.31 , Issue.3 , pp. 539-555
    • Wang, X.1    Ma, X.2    Grimson, W.E.L.3
  • 39
    • 84856672971 scopus 로고    scopus 로고
    • Human action recognition by learning bases of action attributes and parts
    • B. Yao, X. Jiang, A. Khosla, A. L. Lin, L. Guibas, and L. Fei-Fei. Human action recognition by learning bases of action attributes and parts. In ICCV, 2011.
    • (2011) ICCV
    • Yao, B.1    Jiang, X.2    Khosla, A.3    Lin, A.L.4    Guibas, L.5    Fei-Fei, L.6
  • 40
    • 84959223987 scopus 로고    scopus 로고
    • Understanding pedestrian behaviors from stationary crowd groups
    • S. Yi, H. Li, and X. Wang. Understanding pedestrian behaviors from stationary crowd groups. In CVPR, 2015.
    • (2015) CVPR
    • Yi, S.1    Li, H.2    Wang, X.3
  • 41
    • 84911456271 scopus 로고    scopus 로고
    • L0 regularized stationary time estimation for crowd group analysis
    • S. Yi, X. Wang, C. Lu, and J. Jia. L0 regularized stationary time estimation for crowd group analysis. In CVPR, 2014.
    • (2014) CVPR
    • Yi, S.1    Wang, X.2    Lu, C.3    Jia, J.4
  • 42
    • 84959214343 scopus 로고    scopus 로고
    • Cross-scene crowd counting via deep convolutional neural networks
    • C. Zhang, H. Li, X. Wang, and X. Yang. Cross-scene crowd counting via deep convolutional neural networks. In CVPR, 2015.
    • (2015) CVPR
    • Zhang, C.1    Li, H.2    Wang, X.3    Yang, X.4
  • 43
    • 84859048396 scopus 로고    scopus 로고
    • Rotationinvariant image and video description with local binary pattern features
    • G. Zhao, T. Ahonen, J. Matas, and M. Pietikainen. Rotationinvariant image and video description with local binary pattern features. TIP, 21(4):1465-1477, 2012.
    • (2012) TIP , vol.21 , Issue.4 , pp. 1465-1477
    • Zhao, G.1    Ahonen, T.2    Matas, J.3    Pietikainen, M.4
  • 44
    • 84911386894 scopus 로고    scopus 로고
    • Coherent filtering: Detecting coherent motions from crowd clutters
    • B. Zhou, X. Tang, and X. Wang. Coherent filtering: detecting coherent motions from crowd clutters. In ECCV. 2012.
    • (2012) ECCV
    • Zhou, B.1    Tang, X.2    Wang, X.3
  • 45
    • 84887389356 scopus 로고    scopus 로고
    • Measuring crowd collectiveness
    • B. Zhou, X. Tang, and X. Wang. Measuring crowd collectiveness. In CVPR, 2013.
    • (2013) CVPR
    • Zhou, B.1    Tang, X.2    Wang, X.3
  • 46
    • 84921069235 scopus 로고    scopus 로고
    • Learning collective crowd behaviors with dynamic pedestrian-agents
    • B. Zhou, X. Tang, and X. Wang. Learning collective crowd behaviors with dynamic pedestrian-agents. IJCV, 111(1):50-68, 2015.
    • (2015) IJCV , vol.111 , Issue.1 , pp. 50-68
    • Zhou, B.1    Tang, X.2    Wang, X.3
  • 47
    • 84904253434 scopus 로고    scopus 로고
    • Measuring crowd collectiveness
    • B. Zhou, X. Tang, H. Zhang, and X. Wang. Measuring crowd collectiveness. TPAMI, 36(8):1586-1599, 2014.
    • (2014) TPAMI , vol.36 , Issue.8 , pp. 1586-1599
    • Zhou, B.1    Tang, X.2    Zhang, H.3    Wang, X.4
  • 48
    • 84866645335 scopus 로고    scopus 로고
    • Understanding collective crowd behaviors: Learning a mixture model of dynamic pedestrian-agents
    • B. Zhou, X. Wang, and X. Tang. Understanding collective crowd behaviors: Learning a mixture model of dynamic pedestrian-agents. In CVPR, 2012.
    • (2012) CVPR
    • Zhou, B.1    Wang, X.2    Tang, X.3
  • 49
    • 85026925275 scopus 로고    scopus 로고
    • Crowd tracking with dynamic evolution of group structures
    • F. Zhu, X. Wang, and N. Yu. Crowd tracking with dynamic evolution of group structures. In ECCV. 2014.
    • (2014) ECCV
    • Zhu, F.1    Wang, X.2    Yu, N.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.