Spatiotemporal Deformable Prototypes for Motion Anomaly Detection
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Software
Link
http://link.springer.com/content/pdf/10.1007/s11263-016-0934-1.pdf
Reference32 articles.
1. Adam, A., Rivlin, E., Shimshoni, I., & Reinitz, D. (2008). Robust real-time unusual event detection using multiple fixed-location monitors. IEEE Transactions Pattern Analysis and Machine Intelligence, 30(3), 555–560.
2. Antic, B. & Ommer, B. (2011). Video parsing for abnormality detection. In D. N. Metaxas, L. Quan, A. Sanfeliu, & L. J. V. Gool (Eds.), IEEE international conference on computer vision (ICCV) (pp. 2415–2422).
3. Benezeth, Y., Jodoin, P. M., Saligrama, V., & Rosenberger, C. (2009). Abnormal events detection based on spatio-temporal co-occurences. In IEEE international conference on computer vision and pattern recognition (CVPR) (pp. 2458–2465).
4. Bensch, R., Brox, T., & Ronneberger, O. (2015). Spatiotemporal deformable prototypes for motion anomaly detection. In M. W. J. Xianghua Xie & G. K. L. Tam (Eds.), British machine vision conference (BMVC) (pp. 189.1–189.12). London: BMVA Press.
5. Besl, P., & McKay, N. D. (1992). A method for registration of 3-D shapes. IEEE Transactions Pattern Analysis and Machine Intelligence, 14(2), 239–256.
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