most citedDeep Crowd Anomaly Detection: State-of-the-Art, Challenges, and Future Research Directions

5 citations · 5 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CV2022★ 5 cited

Deep Crowd Anomaly Detection: State-of-the-Art, Challenges, and Future Research Directions

Md. Haidar Sharif, Lei Jiao, Christian W. Omlin

Crowd anomaly detection is one of the most popular topics in computer vision in the context of smart cities. A plethora of deep learning methods have been proposed that generally o…