1. Home
  2. Issues
  3. Volume 29, Issue 2 (2018)
  4. Crowd Abnormal Behaviour Identification ...

Informatica


Cited by 6
Crowd Abnormal Behaviour Identification Based on Integral Optical Flow in Video Surveillance Systems

Formalization of People and Crowd Detection and Tracking for Smart Video Surveillance
Huafeng Chen, Rykhard Bohush, Sergey Ablameyko
https://doi.org/10.1007/978-3-030-98883-8_6
Book:  Communications in Computer and Information Science (Pattern Recognition and Information Processing) Volume 1562 (2022), p. 79
Audio–visual representation learning for anomaly events detection in crowds
Junyu Gao, Hao Yang, Maoguo Gong, Xuelong Li
https://doi.org/10.1016/j.neucom.2024.127489
Journal:  Neurocomputing Volume 582 (2024), p. 127489
Crowd Movement Type Estimation in Video by Integral Optical Flow and Convolution Neural Network
Huafeng Chen, Angelina Pashkevich, Shiping Ye, Rykhard Bohush, Sergey Ablameyko
https://doi.org/10.1134/S1054661824700068
Journal:  Pattern Recognition and Image Analysis Volume 34, Issue 2 (2024), p. 266
Learning to detect anomaly events in crowd scenes from synthetic data
Wei Lin, Junyu Gao, Qi Wang, Xuelong Li
https://doi.org/10.1016/j.neucom.2021.01.031
Journal:  Neurocomputing Volume 436 (2021), p. 248
Variational Abnormal Behavior Detection With Motion Consistency
Jing Li, Qingwang Huang, Yingjun Du, Xiantong Zhen, Shengyong Chen, Ling Shao
https://doi.org/10.1109/TIP.2021.3130545
Journal:  IEEE Transactions on Image Processing Volume 31 (2022), p. 275
Wound Healing Monitoring by Video Sequence Using Integral Optical Flow
H. Chen, A. Nedzvedz, O. Nedzvedz, Sh. Ye, Ch. Chen, S. Ablameyko
https://doi.org/10.1007/s10812-019-00838-w
Journal:  Journal of Applied Spectroscopy Volume 86, Issue 3 (2019), p. 435


Share


RSS