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참고문헌 (14)

1. E. B. Nievas, O. D. Suarez, G. B. Garcia and R. Sukthankar, "Violence detection in video using computer vision techniques," In International conference on Computer analysis of images and patterns, pp. 332-339, Heidelberg, 2011. 

2. W. H. Cheng, W. T. Chu and J. L. Wu, "Semantic context detection based on hierarchical audio models," In Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval, pp. 109-115, 2003. 

3. T. Giannakopoulos, A. Makris, D. I. Kosmopoulos, S. J. Perantonis and S. Theodoridis, "Audio-Visual Fusion for Detecting Violent Scenes in Videos," In SETN, pp. 91-100, 2010. 

4. K. Guo, P. Ishwar and J. Konrad, "Action recogniti on from video using feature covariance matrices," IEEE Transactions on Image Processing. Vol. 22, No. 6, pp. 2479-2494, 2013. 

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5. A. Karpathy, G. Toderici, S. Shetty, T. Leung, R. Sukthankar and L. Fei-Fei, "Large-scale video classification with convolutional neural networks," In Proceedings of the IEEE conference on Computer Vision and Pattern Recognition, pp. 1725-1732, 2014 

6. J. Melo, A. Naftel, A. Bernardino and J. Santos-Victor, "Detection and classification of highway lanes using vehicle motion trajectories," IEEE Transactions on intelligent transportation systems, Vol. 7, No. 2, pp.188-200, 2006. 

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7. C. Piciarelli and G. L. Foresti, "On-line trajectory clustering for anomalous events detection," Pattern Recognition Letters, vol. 27, no. 15, pp. 1835-1842, 2006. 

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8. R. Poppe, "A survey on vision-based human action recognition". Image and vision computing, Vol. 28, No. 6, pp. 976-990, 2010. 

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9. R. Saini, A. Ahmed, D. P. Dogra and P. P. Roy, "Classification of object trajectories represented by high-level features using unsupervised learning," In Proceedings of International Conference on Computer Vision and Image Processing, pp. 273-284, Singapore, 2017. 

10. R. Saini, A. Ahmed, D. P. Dogra and P. P. Roy, "Surveillance scene segmentation based on trajectory classification using supervised learning," In Proceedings of International Conference on Computer Vision and Image Processing, pp. 261-271, Singapore, 2017. 

11. R. Saini, P. Kumar, S. Dutta, P. P. Roy and U. Pal, "Local behavior analysis for trajectory classification using graph embedding," In 4th Asian Conference on Pattern Recognition, 2017. (accepted) 

12. R. Saini, P. Kumar, P. P. Roy and D. P. Dogra, "An efficient approach for trajectory classification using FCM and SVM". In IEEE Region 10 Symposium (TENSYMP), pp. 1-4, 2017. 

13. K. Simonyan and A. Zisserman, "Two-stream convolutional networks for action recognition in videos," In Advances in neural information processing systems, pp. 568-576, 2014. 

14. X. Wang, K. Tieu and E. Grimson, "Learning semantic scene models by trajectory analysis," Computer Vision-ECCV, pp.110-23, 2006.