A review of supervised and unsupervised machine learning techniques for suspicious behavior recognition in intelligent surveillance system

作者: Kamal Kant Verma , Brij Mohan Singh , Amit Dixit

DOI: 10.1007/S41870-019-00364-0

关键词:

摘要: … In addition to that we have divided the abnormality detection and recognition based on the types of learning methods, most of the researchers used supervised learning like …

参考文章(63)
Heng Tao Shen, Chunhua Shen, Lingqiao Liu, Yuanzhouhan Cao, Peng Wang, Temporal Pyramid Pooling Based Convolutional Neural Networks for Action Recognition arXiv: Computer Vision and Pattern Recognition. ,(2015)
Karen Simonyan, Andrew Zisserman, Two-Stream Convolutional Networks for Action Recognition in Videos arXiv: Computer Vision and Pattern Recognition. ,(2014)
O.V. Ramana Murthy, Roland Goecke, Ordered trajectories for human action recognition with large number of classes Image and Vision Computing. ,vol. 42, pp. 22- 34 ,(2015) , 10.1016/J.IMAVIS.2015.06.009
Chunyu Chen, Yu Shao, Anomalous crowd behavior detection and localization in video surveillance international conference control science and systems engineering. pp. 190- 194 ,(2014) , 10.1109/CCSSE.2014.7224535
A. R. Revathi, Dhananjay Kumar, A Survey Of Activity Recognition And Understanding The Behavior In Video Survelliance arXiv: Computer Vision and Pattern Recognition. ,(2012)
Ying Zhang, Huchuan Lu, Lihe Zhang, Xiang Ruan, Combining motion and appearance cues for anomaly detection Pattern Recognition. ,vol. 51, pp. 443- 452 ,(2016) , 10.1016/J.PATCOG.2015.09.005
Chunyu Chen, Yu Shao, Xiaojun Bi, Detection of Anomalous Crowd Behavior Based on the Acceleration Feature IEEE Sensors Journal. ,vol. 15, pp. 7252- 7261 ,(2015) , 10.1109/JSEN.2015.2472960
Debapratim Das Dawn, Soharab Hossain Shaikh, A comprehensive survey of human action recognition with spatio-temporal interest point (STIP) detector The Visual Computer. ,vol. 32, pp. 289- 306 ,(2016) , 10.1007/S00371-015-1066-2
Lili Cui, Kehuang Li, Jiapin Chen, Zhenbo Li, Abnormal event detection in traffic video surveillance based on local features international congress on image and signal processing. ,vol. 1, pp. 362- 366 ,(2011) , 10.1109/CISP.2011.6099933
Y. Benezeth, P.-M. Jodoin, V. Saligrama, C. Rosenberger, Abnormal events detection based on spatio-temporal co-occurences computer vision and pattern recognition. pp. 2458- 2465 ,(2009) , 10.1109/CVPRW.2009.5206686