메뉴 건너뛰기




Volumn 2016-December, Issue , 2016, Pages 733-742

Learning temporal regularity in video sequences

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; LEARNING SYSTEMS; VIDEO RECORDING;

EID: 84986265779     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2016.86     Document Type: Conference Paper
Times cited : (1344)

References (61)
  • 1
    • 84959216176 scopus 로고    scopus 로고
    • Ranking domain-specific highlights by analyzing edited videos
    • 1
    • M. Sun, A. Farhadi, and S. Seitz, "Ranking Domain-specific Highlights by Analyzing Edited Videos, " in ECCV, 2014.
    • (2014) ECCV
    • Sun, M.1    Farhadi, A.2    Seitz, S.3
  • 4
    • 84959224620 scopus 로고    scopus 로고
    • Video cosummarization: Video summarization by visual cooccurrence
    • 1
    • W.-S. Chu, Y. Song, and A. Jaimes, "Video Cosummarization: Video Summarization by Visual Cooccurrence, " in CVPR, 2015.
    • (2015) CVPR
    • Chu, W.-S.1    Song, Y.2    Jaimes, A.3
  • 8
    • 84898792897 scopus 로고    scopus 로고
    • Abnormal event detection at 150 fps in matlab
    • 1, 2, 6, 7, 8
    • C. Lu, J. Shi, and J. Jia, "Abnormal event detection at 150 fps in matlab, " in ICCV, 2013, pp. 2720-2727.
    • (2013) ICCV , pp. 2720-2727
    • Lu, C.1    Shi, J.2    Jia, J.3
  • 9
    • 80052872689 scopus 로고    scopus 로고
    • Online detection of unusual events in videos via dynamic sparse coding
    • 1, 2
    • B. Zhao, L. Fei-Fei, and E. P. Xing, "Online detection of unusual events in videos via dynamic sparse coding, " in CVPR, 2011, pp. 3313-3320.
    • (2011) CVPR , pp. 3313-3320
    • Zhao, B.1    Fei-Fei, L.2    Xing, E.P.3
  • 10
    • 80052872021 scopus 로고    scopus 로고
    • Sparse reconstruction cost for abnormal event detection
    • 1
    • Y. Cong, J. Yuan, and J. Liu, "Sparse Reconstruction Cost for Abnormal Event Detection, " in CVPR, 2011.
    • (2011) CVPR
    • Cong, Y.1    Yuan, J.2    Liu, J.3
  • 12
    • 77956002209 scopus 로고    scopus 로고
    • Anomaly detection in crowded scenes
    • 2, 6
    • V. Mahadevan, W. Li, V. Bhalodia, and N. Vasconcelos, "Anomaly detection in crowded scenes, " in CVPR, 2010, pp. 1975-1981.
    • (2010) CVPR , pp. 1975-1981
    • Mahadevan, V.1    Li, W.2    Bhalodia, V.3    Vasconcelos, N.4
  • 13
    • 80052908300 scopus 로고    scopus 로고
    • Unbiased look at dataset bias
    • 2
    • A. Torralba and A. A. Efros, "Unbiased Look at Dataset Bias, " in CVPR, 2011.
    • (2011) CVPR
    • Torralba, A.1    Efros, A.A.2
  • 14
    • 80052874098 scopus 로고    scopus 로고
    • Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis
    • 2
    • Q. V. Le, W. Y. Zou, S. Y. Yeung, and A. Y. Ng, "Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis, " in CVPR, 2011.
    • (2011) CVPR
    • Le, Q.V.1    Zou, W.Y.2    Yeung, S.Y.3    Ng, A.Y.4
  • 15
    • 50649099025 scopus 로고    scopus 로고
    • A biologically inspired system for action recognition
    • 2
    • H. Jhuang, T. Serre, L. Wolf, and T. Poggio, "A biologically inspired system for action recognition, " in ICCV, 2007.
    • (2007) ICCV
    • Jhuang, H.1    Serre, T.2    Wolf, L.3    Poggio, T.4
  • 16
    • 84867652321 scopus 로고    scopus 로고
    • Convolutional learning of spatiotemporal features
    • 2
    • G. W. Taylor, R. Fergus, Y. LeCun, and C. Bregler, "Convolutional learning of spatiotemporal features, " in ECCV, 2010.
    • (2010) ECCV
    • Taylor, G.W.1    Fergus, R.2    LeCun, Y.3    Bregler, C.4
  • 19
    • 84890543083 scopus 로고    scopus 로고
    • Speech recognition with deep recurrent neural networks
    • 2
    • A. Graves, A.-R. Mohamed, and G. Hinton, "Speech recognition with deep recurrent neural networks, " in ICASSP, 2013.
    • (2013) ICASSP
    • Graves, A.1    Mohamed, A.-R.2    Hinton, G.3
  • 21
    • 84959217041 scopus 로고    scopus 로고
    • Hierarchical recurrent neural network for skeleton based action recognition
    • 2
    • Y. Du, W. Wang, and L. Wang, "Hierarchical recurrent neural network for skeleton based action recognition, " in CVPR, 2015.
    • (2015) CVPR
    • Du, Y.1    Wang, W.2    Wang, L.3
  • 23
    • 70450169881 scopus 로고    scopus 로고
    • Observe locally, infer globally: A space-time mrf for detecting abnormal activities with incremental updates
    • 2
    • J. Kim and K. Grauman, "Observe locally, infer globally: A space-time mrf for detecting abnormal activities with incremental updates, " in CVPR, 2009, pp. 2921-2928.
    • (2009) CVPR , pp. 2921-2928
    • Kim, J.1    Grauman, K.2
  • 24
    • 84943804012 scopus 로고    scopus 로고
    • Video anomaly detection and localization using hierarchical feature representation and Gaussian process regression
    • 2
    • K.-W. Cheng, Y.-T. Chen, and W.-H. Fang, "Video anomaly detection and localization using hierarchical feature representation and Gaussian process regression, " in CVPR, 2015, pp. 2909-2917.
    • (2015) CVPR , pp. 2909-2917
    • Cheng, K.-W.1    Chen, Y.-T.2    Fang, W.-H.3
  • 25
    • 84925064291 scopus 로고    scopus 로고
    • Learning to detect anomalies in surveillance video
    • 2
    • T. Xiao, C. Zhang, and H. Zha, "Learning to detect anomalies in surveillance video, " Signal Processing Letters, IEEE, vol. 22, no. 9, pp. 1477-1481, 2015.
    • (2015) Signal Processing Letters, IEEE , vol.22 , Issue.9 , pp. 1477-1481
    • Xiao, T.1    Zhang, C.2    Zha, H.3
  • 27
    • 84951976062 scopus 로고    scopus 로고
    • Realtime anomaly detection and localization in crowded scenes
    • 2
    • M. Sabokrou, M. Fathy, M. Hoseini, and R. Klette, "Realtime anomaly detection and localization in crowded scenes, " in CVPRW, 2015.
    • (2015) CVPRW
    • Sabokrou, M.1    Fathy, M.2    Hoseini, M.3    Klette, R.4
  • 28
    • 84887384449 scopus 로고    scopus 로고
    • Online dominant and anomalous behavior detection in videos
    • 2
    • M. J. Roshtkhari and M. D. Levine, "Online dominant and anomalous behavior detection in videos, " in CVPR, 2013.
    • (2013) CVPR
    • Roshtkhari, M.J.1    Levine, M.D.2
  • 29
    • 27744441549 scopus 로고    scopus 로고
    • "Shape activity": A continuous-state hmm for moving/deforming shapes with application to abnormal activity detection
    • 2
    • N. Vaswani, A. K. Roy-Chowdhury, and R. Chellappa, ""shape activity": A continuous-state hmm for moving/deforming shapes with application to abnormal activity detection, " Image Processing, IEEE Transactions on, vol. 14, no. 10, pp. 1603-1616, 2005.
    • (2005) Image Processing, IEEE Transactions on , vol.14 , Issue.10 , pp. 1603-1616
    • Vaswani, N.1    Roy-Chowdhury, A.K.2    Chellappa, R.3
  • 30
    • 84998684738 scopus 로고    scopus 로고
    • Learning deep representations of appearance and motion for anomalous event detection
    • 2, 8
    • D. Xu, E. Ricci, Y. Yan, J. Song, and N. Sebe, "Learning deep representations of appearance and motion for anomalous event detection, " in BMVC, 2015.
    • (2015) BMVC
    • Xu, D.1    Ricci, E.2    Yan, Y.3    Song, J.4    Sebe, N.5
  • 31
    • 84876231242 scopus 로고    scopus 로고
    • Imagenet classification with deep convolutional neural networks
    • 2, 4, 5
    • A. Krizhevsky, I. Sutskever, and G. E. Hinton, "Imagenet classification with deep convolutional neural networks, " in NIPS, 2012.
    • (2012) NIPS
    • Krizhevsky, A.1    Sutskever, I.2    Hinton, G.E.3
  • 32
    • 84908537903 scopus 로고    scopus 로고
    • CNN features off-the-shelf: An astounding baseline for recognition
    • 2
    • A. S. Razavian, H. Azizpour, J. Sullivan, and S. Carlsson, "CNN features off-the-shelf: An astounding baseline for recognition, " in CVPR, 2014.
    • (2014) CVPR
    • Razavian, A.S.1    Azizpour, H.2    Sullivan, J.3    Carlsson, S.4
  • 35
    • 84960980241 scopus 로고    scopus 로고
    • Faster R-CNN: Towards real-time object detection with region proposal networks
    • 2
    • S. Ren, A. He, R. Girshick, and J. Sun, "Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks, " in NIPS, 2015.
    • (2015) NIPS
    • Ren, S.1    He, A.2    Girshick, R.3    Sun, J.4
  • 36
    • 84911198048 scopus 로고    scopus 로고
    • Deepface: Closing the gap to human-level performance in face verification
    • 2
    • Y. Taigman, M. Yang, M. Ranzato, and L. Wolf, "Deepface: Closing the gap to human-level performance in face verification, " in CVPR, 2014.
    • (2014) CVPR
    • Taigman, Y.1    Yang, M.2    Ranzato, M.3    Wolf, L.4
  • 38
    • 84952902559 scopus 로고    scopus 로고
    • Deep visual-semantic alignments for generating image descriptions
    • 2
    • A. Karpathy and L. Fei-Fei, "Deep visual-semantic alignments for generating image descriptions, " in CVPR, 2014.
    • (2014) CVPR
    • Karpathy, A.1    Fei-Fei, L.2
  • 40
    • 84959226659 scopus 로고    scopus 로고
    • A discriminative cnn video representation for event detection
    • 2
    • Z. Xu, Y. Yang, and A. G. Hauptmann, "A discriminative cnn video representation for event detection, " in CVPR, 2015.
    • (2015) CVPR
    • Xu, Z.1    Yang, Y.2    Hauptmann, A.G.3
  • 41
    • 84955282488 scopus 로고    scopus 로고
    • Action recognition with trajectory-pooled deep-convolutional descriptors
    • 2
    • L. Wang, Y. Qiao, and X. Tang, "Action recognition with trajectory-pooled deep-convolutional descriptors, " in CVPR, 2015.
    • (2015) CVPR
    • Wang, L.1    Qiao, Y.2    Tang, X.3
  • 43
    • 84973879016 scopus 로고    scopus 로고
    • Learning deconvolution network for semantic segmentation
    • 2, 5
    • H. Noh, S. Hong, and B. Han, "Learning Deconvolution Network for Semantic Segmentation, " in ICCV, 2015.
    • (2015) ICCV
    • Noh, H.1    Hong, S.2    Han, B.3
  • 44
    • 84898805910 scopus 로고    scopus 로고
    • Action recognition with improved trajectories
    • 2, 3
    • H. Wang and C. Schmid, "Action recognition with improved trajectories, " in ICCV, 2013.
    • (2013) ICCV
    • Wang, H.1    Schmid, C.2
  • 45
    • 33746600649 scopus 로고    scopus 로고
    • Reducing the dimensionality of data with neural networks
    • 3
    • G. E. Hinton and R. R. Salakhutdinov, "Reducing the dimensionality of data with neural networks, " Science, vol. 313, no. 5786, pp. 504-507, 2006.
    • (2006) Science , vol.313 , Issue.5786 , pp. 504-507
    • Hinton, G.E.1    Salakhutdinov, R.R.2
  • 46
    • 84986272889 scopus 로고    scopus 로고
    • Continuous learning of human activity models using deep nets
    • 3
    • M. Hasan and A. K. Roy-Chowdhury, "Continuous Learning of Human Activity Models Using Deep Nets, " in ECCV, 2014.
    • (2014) ECCV
    • Hasan, M.1    Roy-Chowdhury, A.K.2
  • 47
    • 33645146449 scopus 로고    scopus 로고
    • Histograms of oriented gradients for human detection
    • 3
    • N. Dalal and B. Triggs, "Histograms of oriented gradients for human detection, " in CVPR, 2005.
    • (2005) CVPR
    • Dalal, N.1    Triggs, B.2
  • 48
    • 34948855444 scopus 로고    scopus 로고
    • Human detection using oriented histograms of flow and appearance
    • 3
    • 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
  • 49
    • 84863040795 scopus 로고    scopus 로고
    • A "string of feature graphs" model for recognition of complex activities in natural videos
    • 3
    • U. Gaur, Y. Zhu, B. Song, and A. Roy-Chowdhury, "A "String of Feature Graphs" Model for Recognition of Complex Activities in Natural Videos, " in ICCV, 2011.
    • (2011) ICCV
    • Gaur, U.1    Zhu, Y.2    Song, B.3    Roy-Chowdhury, A.4
  • 51
    • 84897510162 scopus 로고    scopus 로고
    • On the importance of initialization and momentum in deep learning
    • 3
    • I. Sutskever, J. Martens, G. Dahl, and G. Hinton, "On the importance of initialization and momentum in deep learning, " in ICML, 2013.
    • (2013) ICML
    • Sutskever, I.1    Martens, J.2    Dahl, G.3    Hinton, G.4
  • 52
    • 84959205572 scopus 로고    scopus 로고
    • Fully convolutional networks for semantic segmentation
    • 4
    • J. Long, E. Shelhamer, and T. Darrell, "Fully convolutional networks for semantic segmentation, " in CVPR, 2015.
    • (2015) CVPR
    • Long, J.1    Shelhamer, E.2    Darrell, T.3
  • 53
    • 85009899017 scopus 로고    scopus 로고
    • Visualizing and understanding convolutional networks
    • 5
    • M. D. Zeiler and R. Fergus, "Visualizing and understanding convolutional networks, " in ECCV, 2014.
    • (2014) ECCV
    • Zeiler, M.D.1    Fergus, R.2
  • 54
    • 84856686379 scopus 로고    scopus 로고
    • Adaptive deconvolutional networks for mid and high level feature learning
    • 5
    • M. D. Zeiler, G. W. Taylor, and R. Fergus, "Adaptive deconvolutional networks for mid and high level feature learning, " in ICCV, 2011.
    • (2011) ICCV
    • Zeiler, M.D.1    Taylor, G.W.2    Fergus, R.3
  • 55
    • 80052250414 scopus 로고    scopus 로고
    • Adaptive subgradient methods for online learning and stochastic optimization
    • 5
    • J. Duchi, E. Hazan, and Y. Singer, "Adaptive subgradient methods for online learning and stochastic optimization, " The Journal of Machine Learning Research, vol. 12, pp. 2121-2159, 2011.
    • (2011) The Journal of Machine Learning Research , vol.12 , pp. 2121-2159
    • Duchi, J.1    Hazan, E.2    Singer, Y.3
  • 57
    • 84893343292 scopus 로고    scopus 로고
    • Lecture 6. 5-rmsprop: Divide the gradient by a running average of its recent magnitude
    • 5
    • T. Tieleman and G. Hinton, "Lecture 6. 5-rmsprop: Divide the gradient by a running average of its recent magnitude, " in COURSERA: Neural Networks for Machine Learning, 2012.
    • (2012) COURSERA: Neural Networks for Machine Learning
    • Tieleman, T.1    Hinton, G.2
  • 58
    • 79951563340 scopus 로고    scopus 로고
    • Understanding the difficulty of training deep feedforward neural networks
    • 5
    • X. Glorot and Y. Bengio, "Understanding the difficulty of training deep feedforward neural networks, " in AISTAT, 2010.
    • (2010) AISTAT
    • Glorot, X.1    Bengio, Y.2
  • 60
    • 84866703571 scopus 로고    scopus 로고
    • Video anomaly detection based on local statistical aggregates
    • 7, 8
    • V. Saligrama and Z. Chen, "Video Anomaly Detection Based on Local Statistical Aggregates, " in CVPR, 2012.
    • (2012) CVPR
    • Saligrama, V.1    Chen, Z.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.