In crowd scenarios, reliable trajectory prediction of pedestrians requires insightful
understanding of their social behaviors. These behaviors have been well investigated by …

Visual recognition of crowd dynamics has had a huge impact on several applications
including surveillance, situation awareness, homeland security and intelligent environments …

Multi-agent interacting systems are prevalent in the world, from purely physical systems to
complicated social dynamic systems. In many applications, effective understanding of the …

Computer Vision (CV) based surveillance in crowded scenes is one of the most significant
and promising topics due to the increase of people gatherings in public places where the …

Abnormal behavior detection in crowd scenes is continuously a challenge in the field of
computer vision. For tackling this problem, this paper starts from a novel structure modeling …

We present adversarial event prediction (AEP), a novel approach to detecting abnormal
events through an event prediction setting. Given normal event samples, AEP derives the …

Effectively understanding social interactions among pedestrians plays a significant role in
accurate pedestrian trajectory prediction. Previous works used either distance-based or data …

摘要基于视觉的人体动作识别是图像处理, 计算机视觉, 模式识别, 机器学习,
人工智能等多个学科的交叉研究课题, 在视频监控, 视频检索, 人机交互, 虚拟现实 …

In the task of pedestrian trajectory prediction, social interaction could be one of the most
complicated factors since it is difficult to be interpreted through simple rules. Recent studies …

In this paper, we propose to use the deep learning technique for abnormal event detection
by extracting spatiotemporal features from video sequences. Human eyes are often attracted …