IEEE TCSVT · 2024 · Journal article

Toward Adaptive Human-Centric Video Anomaly Detection: A Comprehensive Framework and a New Benchmark

Armin Danesh Pazho, S. Yao, Ghazal Alinezhad Noghre, B. R. Ardabili, Vinit Katariya, Hamed Tabkhi

Published in
IEEE transactions on circuits and systems for video technology (Print)
Date
2024-08-26
Citations
8
arXiv
2408.14329
Cite
@article{pazho2024toward,
  title = {Toward Adaptive Human-Centric Video Anomaly Detection: A Comprehensive Framework and a New Benchmark},
  author = {Armin Danesh Pazho and S. Yao and Ghazal Alinezhad Noghre and B. R. Ardabili and Vinit Katariya and Hamed Tabkhi},
  year = {2024},
  journal = {IEEE transactions on circuits and systems for video technology (Print)},
  eprint = {2408.14329},
  archivePrefix = {arXiv},
  doi = {10.1109/TCSVT.2025.3632768},
  url = {https://arxiv.org/abs/2408.14329},
}