메뉴 건너뛰기




Volumn , Issue , 2013, Pages 3559-3566

Action recognition with actons

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DECISION TREES; SOLIDS;

EID: 84898805615     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2013.442     Document Type: Conference Paper
Times cited : (88)

References (36)
  • 1
    • 85141266799 scopus 로고    scopus 로고
    • Support vector machines for multiple-instance learning
    • S. Andrews, I. Tsochantaridis, and T. Hofmann. Support vector machines for multiple-instance learning. In NIPS, 2002.
    • (2002) NIPS
    • Andrews, S.1    Tsochantaridis, I.2    Hofmann, T.3
  • 2
    • 80052876485 scopus 로고    scopus 로고
    • A probabilistic representation for efficient large scale visual recognition tasks
    • S. Bhattacharya, R. Sukthankar, R. Jin, and M. Shah. A probabilistic representation for efficient large scale visual recognition tasks. In CVPR, 2011.
    • (2011) CVPR
    • Bhattacharya, S.1    Sukthankar, R.2    Jin, R.3    Shah, M.4
  • 3
    • 84859779573 scopus 로고    scopus 로고
    • Activities as time series of human postures
    • W. Brendel and S. Todorovic. Activities as time series of human postures. In ECCV. 2010.
    • (2010) ECCV
    • Brendel, W.1    Todorovic, S.2
  • 4
    • 34948855444 scopus 로고    scopus 로고
    • Human detection using oriented histograms of flow and appearance
    • N. Dalal, B. Triggs, and C. Schmid. Human detection using oriented histograms of flow and appearance. In ECCV. 2006.
    • (2006) ECCV
    • Dalal, N.1    Triggs, B.2    Schmid, C.3
  • 5
    • 79958737093 scopus 로고    scopus 로고
    • Object, scene and actions: Combining multiple features for human action recognition
    • N. Ikizler-Cinbis and S. Sclaroff. Object, scene and actions: combining multiple features for human action recognition. In ECCV, 2010.
    • (2010) ECCV
    • Ikizler-Cinbis, N.1    Sclaroff, S.2
  • 6
    • 84887398298 scopus 로고    scopus 로고
    • Better exploiting motion for better action recognition
    • M. Jain, H. J́egou, and P. Bouthemy. Better exploiting motion for better action recognition. In CVPR, 2013.
    • (2013) CVPR
    • Jain, M.1    J́egou, H.2    Bouthemy, P.3
  • 7
    • 84877645596 scopus 로고    scopus 로고
    • Trajectory-based modeling of human actions with motion reference points
    • Y.-G. Jiang, Q. Dai, X. Xue, W. Liu, and C.-W. Ngo. Trajectory-based modeling of human actions with motion reference points. In ECCV, 2012.
    • (2012) ECCV
    • Jiang, Y.-G.1    Dai, Q.2    Xue, X.3    Liu, W.4    Ngo, C.-W.5
  • 9
    • 84876231242 scopus 로고    scopus 로고
    • Imagenet classification with deep convolutional neural networks
    • A. Krizhevsky, I. Sutskever, and G. Hinton. Imagenet classification with deep convolutional neural networks. In NIPS, 2012.
    • (2012) NIPS
    • Krizhevsky, A.1    Sutskever, I.2    Hinton, G.3
  • 10
  • 12
    • 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
  • 13
    • 80052874098 scopus 로고    scopus 로고
    • Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis
    • Q. Le, W. Zou, S. Yeung, and A. Ng. Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis. In CVPR, 2011.
    • (2011) CVPR
    • Le, Q.1    Zou, W.2    Yeung, S.3    Ng, A.4
  • 14
    • 84887327253 scopus 로고    scopus 로고
    • Harvesting mid-level visual concepts from large-scale internet images
    • Q. Li, J.Wu, and Z. Tu. Harvesting mid-level visual concepts from large-scale internet images. In CVPR, 2013.
    • (2013) CVPR
    • Li, Q.1    Wu, J.2    Tu, Z.3
  • 15
    • 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
  • 16
    • 70450203660 scopus 로고    scopus 로고
    • Recognizing realistic actions from videos in the wild
    • J. Liu, J. Luo, and M. Shah. Recognizing realistic actions from videos in the wild. In CVPR, 2009.
    • (2009) CVPR
    • Liu, J.1    Luo, J.2    Shah, M.3
  • 17
    • 84863044549 scopus 로고    scopus 로고
    • In defense of soft-assignment coding
    • L. Liu, L. Wang, and X. Liu. In defense of soft-assignment coding. In ICCV, 2011.
    • (2011) ICCV
    • Liu, L.1    Wang, L.2    Liu, X.3
  • 18
    • 70450162077 scopus 로고    scopus 로고
    • Trajectory parsing by cluster sampling in spatio-temporal graph
    • X. Liu, L. Lin, S.-C. Zhu, and H. Jin. Trajectory parsing by cluster sampling in spatio-temporal graph. In CVPR, 2009.
    • (2009) CVPR
    • Liu, X.1    Lin, L.2    Zhu, S.-C.3    Jin, H.4
  • 20
    • 77953182943 scopus 로고    scopus 로고
    • Activity recognition using the velocity histories of tracked keypoints
    • R. Messing, C. Pal, and H. Kautz. Activity recognition using the velocity histories of tracked keypoints. In ICCV, 2009.
    • (2009) ICCV
    • Messing, R.1    Pal, C.2    Kautz, H.3
  • 21
    • 84866661728 scopus 로고    scopus 로고
    • Discovering discriminative action parts from mid-level video representations
    • M. Raptis, I. Kokkinos, and S. Soatto. Discovering discriminative action parts from mid-level video representations. In CVPR, 2012.
    • (2012) CVPR
    • Raptis, M.1    Kokkinos, I.2    Soatto, S.3
  • 22
    • 84866718894 scopus 로고    scopus 로고
    • Action bank: A high-level representation of activity in video
    • S. Sadanand and J. Corso. Action bank: a high-level representation of activity in video. In CVPR, 2012.
    • (2012) CVPR
    • Sadanand, S.1    Corso, J.2
  • 23
    • 84898403515 scopus 로고    scopus 로고
    • Learning discriminative space-time actions from weakly labelled videos
    • M. Sapienza, F. Cuzzolin, and P. Torr. Learning discriminative space-time actions from weakly labelled videos. In BMVC, 2012.
    • (2012) BMVC
    • Sapienza, M.1    Cuzzolin, F.2    Torr, P.3
  • 24
    • 84887327356 scopus 로고    scopus 로고
    • Sampling strategies for real-time action recognition
    • F. Shi, E. Petriu, and R. Laganiere. Sampling strategies for real-time action recognition. In CVPR, 2013.
    • (2013) CVPR
    • Shi, F.1    Petriu, E.2    Laganiere, R.3
  • 25
    • 84898442236 scopus 로고    scopus 로고
    • Improving object classification using semantic attributes
    • Y. Su, M. Allan, and F. Jurie. Improving object classification using semantic attributes. In BMVC, 2010.
    • (2010) BMVC
    • Su, Y.1    Allan, M.2    Jurie, F.3
  • 26
    • 84898428599 scopus 로고    scopus 로고
    • Improving bag-offeatures action recognition with non-local cues
    • M. M. Ullah, S. N. Parizi, and I. Laptev. Improving bag-offeatures action recognition with non-local cues. In BMVC, 2010.
    • (2010) BMVC
    • Ullah, M.M.1    Parizi, S.N.2    Laptev, I.3
  • 27
    • 84876945537 scopus 로고    scopus 로고
    • Dense trajectories and motion boundary descriptors for action recognition
    • H. Wang, A. Kl̈aser, C. Schmid, and C.-L. Liu. Dense trajectories and motion boundary descriptors for action recognition. IJCV, 2013.
    • (2013) IJCV
    • Wang, H.1    Kl̈aser, A.2    Schmid, C.3    Liu, C.-L.4
  • 28
    • 84887400741 scopus 로고    scopus 로고
    • Motionlets: Mid-level 3D parts for human motion recognition
    • L. Wang, Y. Qiao, and X. Tang. Motionlets: mid-level 3D parts for human motion recognition. In CVPR, 2013.
    • (2013) CVPR
    • Wang, L.1    Qiao, Y.2    Tang, X.3
  • 29
    • 84897567827 scopus 로고    scopus 로고
    • Max-margin multiple-instance dictionary learning
    • X. Wang, B. Wang, X. Bai, W. Liu, and Z. Tu. Max-margin multiple-instance dictionary learning. In ICML, 2013.
    • (2013) ICML
    • Wang, X.1    Wang, B.2    Bai, X.3    Liu, W.4    Tu, Z.5
  • 31
    • 84866665353 scopus 로고    scopus 로고
    • Multiple clustered instance learning for histopathology cancer image classification, segmentation and clustering
    • Y. Xu, J.-Y. Zhu, E. Chang, and Z. Tu. Multiple clustered instance learning for histopathology cancer image classification, segmentation and clustering. In CVPR, 2012.
    • (2012) CVPR
    • Xu, Y.1    Zhu, J.-Y.2    Chang, E.3    Tu, Z.4
  • 32
    • 70450209196 scopus 로고    scopus 로고
    • Linear spatial pyramid matching using sparse coding for image classification
    • J. Yang, K. Yu, Y. Gong, and T. Huang. Linear spatial pyramid matching using sparse coding for image classification. In CVPR, 2009.
    • (2009) CVPR
    • Yang, J.1    Yu, K.2    Gong, Y.3    Huang, T.4
  • 34
    • 79955835564 scopus 로고    scopus 로고
    • Maximum margin multiple instance clustering with applications to image and text clustering
    • D. Zhang, F. Wang, L. Si, and T. Li. Maximum margin multiple instance clustering with applications to image and text clustering. IEEE Transactions on Neural Networks, 2011.
    • (2011) IEEE Transactions on Neural Networks
    • Zhang, D.1    Wang, F.2    Si, L.3    Li, T.4
  • 35
    • 84898403313 scopus 로고    scopus 로고
    • Image classification by hierarchical spatial pooling with partial least squares analysis
    • J. Zhu, W. Zou, X. Yang, R. Zhang, Q. Zhou, and W. Zhang. Image classification by hierarchical spatial pooling with partial least squares analysis. In BMVC, 2012.
    • (2012) BMVC
    • Zhu, J.1    Zou, W.2    Yang, X.3    Zhang, R.4    Zhou, Q.5    Zhang, W.6
  • 36
    • 77955986466 scopus 로고    scopus 로고
    • Latent hierarchical structural learning for object detection
    • L. Zhu, Y. Chen, A. Yuille, and W. Freeman. Latent hierarchical structural learning for object detection. In CVPR, 2010.
    • (2010) CVPR
    • Zhu, L.1    Chen, Y.2    Yuille, A.3    Freeman, W.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.