Anomaly Event Detection Based on Two-Stream Network and Multi-instance Learning

Xianbin Yang; Jianwu Dang; Song Wang; Yangping Wang

doi:10.3788/LOP202158.2015006

[1] Paul M, Haque S M E, Chakraborty S. Human detection in surveillance videos and its applications - a review[J]. EURASIP Journal on Advances in Signal Processing, 2013, 1-16(2013).

[2] Wen H, Jia D S, Yan T et al. Research and analysis of intelligent video anomaly detection events[J]. China Computer & Communication, 49-50(2019).

[3] Guo Q R. Research on abnormal event detection in video surveillance[D](2017).

[4] Ren H M, Liu W F, Olsen S I et al. Unsupervised behavior-specific dictionary learning for abnormal event detection[C]. //Procedings of the British Machine Vision Conference (BMVC), September, 2015, Swansea, 28.1-28.13(2015).

[5] Lu C W, Shi J P, Jia J Y. Abnormal event detection at 150 FPS in MATLAB[C]. //2013 IEEE International Conference on Computer Vision (ICCV), December 1-8, 2013, Sydney, NSW, Australia., 2720-2727(2013).

[6] Xu L, Gong C, Yang J et al. Violent video detection based on MoSIFT feature and sparse coding[C]. //2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 4-9, 2014, Florence, Italy., 3538-3542(2014).

[7] Zhang T, Jia W J, Yang B Q et al. MoWLD: a robust motion image descriptor for violence detection[J]. Multimedia Tools and Applications, 76, 1419-1438(2017).

[8] Li Q H, Li A H, Wang T et al. Double-stream convolutional networks with sequential optical flow image for action recognition[J]. Acta Optica Sinica, 38, 0615002(2018).

[9] Li C, Han Z J, Ye Q X et al. Visual abnormal behavior detection based on trajectory sparse reconstruction analysis[J]. Neurocomputing, 119, 94-100(2013).

[10] Bin Z, Li F F, Xing E P. Online detection of unusual events in videos via dynamic sparse coding[C]. //CVPR 2011, June 20-25, 2011, Colorado Springs, CO, USA., 3313-3320(2011).

[11] Guo R Y, Jin J, Liu G H et al. Improved human action recognition algorithm based on two-stream faster region convolutional neural network. Laser & Optoelectronics Progress, 57, 241506(2020).

[12] Zhang T, Yang Z J, Jia W J et al. A new method for violence detection in surveillance scenes[J]. Multimedia Tools and Applications, 75, 7327-7349(2016).

[13] Gracia I S, Suarez O D, Garcia G B et al. Fast fight detection[J]. PLoS One, 10, e0120448(2015).

[14] Tran D, Bourdev L, Fergus R et al. Learning spatiotemporal features with 3D convolutional networks[C]. //2015 IEEE International Conference on Computer Vision (ICCV), December 7-13, 2015, Santiago, Chile., 4489-4497(2015).

[15] Simonyan K, Zisserman A. Two-stream convolutional networks for action recognition in videos[J]. Adcances in Neural Information Processing Systems, 27, 568-576(2014).

[16] Carreira J, Zisserman A. Quo Vadis, action recognition? A new model and the Kinetics dataset[C]. //2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA., 4724-4733(2017).

[17] Ioffe S, Szegedy C. Batch normalization: accelerating deep network training by reducing internal covariate shift[EB/OL]. (2015-02-11)[2020-11-20]. https://arxiv.org/abs/1502.03167

[18] Zhu Y, Lan Z Z, Newsam S et al. Hidden two-stream convolutional networks for action recognition[M]. //Jawahar C V, Li H D, Mori G, et al. Computer vision-ACCV 2018. Lecture notes in computer science, 11363, 363-378(2019).

[19] Andrews S, Tsochantaridis I, Hofmann T. Support vector machines for multiple-instance learning[J]. Advcances in Neural Information Processing System, 15, 561-568(2002).

[20] Chandola V, Banerjee A, Kumar V. Anomaly detection: a survey[J]. ACM Computing Surveys (CUSR), 41, 1-58(2009).

[21] Sultani W, Chen C, Shah M. Real-world anomaly detection in surveillance videos[C]. //2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 18-23, 2018, Salt Lake City, UT, USA., 6479-6488(2018).

[22] Zach C, Pock T, Bischof H. A duality based approach forrealtime TV-L1 optical flow[M]. //Hamprecht F A, Schnörr C, Jähne B. Pattern recognition. Lecture notes in computer science, 4713, 214-223(2007).

[23] Hasan M, Choi J, Neumann J et al. Learning temporal regularity in video sequences[C]. //2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA., 733-742(2016).

[24] Sabokrou M, Fathy M, Hoseini M. Video anomaly detection and localization based on the sparsity and reconstruction error of auto-encoder[J]. Electronics Letters, 52, 1122-1124(2016).

[25] Mahadevan V, Li W X, Bhalodia V et al. Anomaly detection in crowded scenes[C]. //2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 13-18, 2010, San Francisco, CA, USA., 1975-1981(2010).