D Xu, E Ricci, Y Yan, J Song, N Sebe - arXiv preprint arXiv:1510.01553, 2015 - arxiv.org
We present a novel unsupervised deep learning framework for anomalous event detection in complex video scenes. While most existing works merely use hand-crafted appearance …
J Shao, K Kang, C Change Loy… - Proceedings of the …, 2015 - openaccess.thecvf.com
Crowded scene understanding is a fundamental problem in computer vision. In this study, we develop a multi-task deep model to jointly learn and combine appearance and motion …
S Yi, H Li, X Wang - Proceedings of the IEEE conference on …, 2015 - openaccess.thecvf.com
Pedestrian behavior modeling and analysis is important for crowd scene understanding and has various applications in video surveillance. Stationary crowd groups are a key factor …
KW Cheng, YT Chen, WH Fang - Proceedings of the IEEE …, 2015 - openaccess.thecvf.com
This paper presents a hierarchical framework for detecting local and global anomalies via hierarchical feature representation and Gaussian process regression. While local anomaly …
In this paper, we propose a method for real-time anomaly detection and localization in crowded scenes. Each video is defined as a set of non-overlapping cubic patches, and is …
We introduce a novel, online method to predict pedestrian trajectories using agent-based velocity-space reasoning for improved human–robot interaction and collision-free …
B Zhou, X Tang, X Wang - International Journal of Computer Vision, 2015 - Springer
Collective behaviors characterize the intrinsic dynamics of the crowds. Automatically understanding collective crowd behaviors has important applications to video surveillance …
Modern crowd theories agree that collective behavior is the result of the underlying interactions among small groups of individuals. In this work, we propose a novel algorithm …
A Templeton, J Drury… - Review of General …, 2015 - journals.sagepub.com
Computer simulations are increasingly used to monitor and predict behavior at large crowd events, such as mass gatherings, festivals and evacuations. We critically examine the crowd …