A semantic understanding of road traffic can help people understand road traffic flow
situations and emergencies more accurately and provide a more accurate basis for anomaly …

Abstract The AI City Challenge's seventh edition emphasizes two domains at the intersection
of computer vision and artificial intelligence-retail business and Intelligent Traffic Systems …

This paper explores deep learning (DL) methods that are used or have the potential to be
used for traffic video analysis, emphasising driving safety for both autonomous vehicles and …

Any intelligent traffic monitoring system must be able to detect anomalies such as traffic
accidents in real-time. In this paper, we propose a Decision-Tree enabled approach …

Anomalous behavior identification is the process of detecting behavior that differs from its
normal. These incidents will vary from violence to war, road crashes to kidnap**, and so …

Anomalous event detection in surveillance videos is a challenging and practical research
problem among image and video processing community. Compared to the frame-level …

This paper presents a deep learning-based framework to detect and localize the
pedestrians' anomaly behaviors in videos captured at the grade crossing. A skeleton …

Video Anomaly detection, aiming to detect the abnormal behaviors in surveillance videos, is
a challenging task since the anomalous events are diversified and complicated in different …

Weakly Supervised Anomaly Detection (WSAD) in surveillance videos is a complex task
since usually only video-level annotations are available. Previous work treated it as a …

The detection of traffic anomalies is a critical component of the intelligent city transportation
management system. Previous works have proposed a variety of notable insights and taken …