Video anomaly detection is to automatically identify predefined anomalous contents (eg
abnormal objects, behaviors and scenes) in videos. The performance of video anomaly …

Detecting anomalies in videos presents a significant challenge in the field of video
surveillance. The primary goal is identifying and detecting uncommon actions or events …

The identification of anomalies in videos is a particularly complex visual challenge, given the
wide variety of potential real-world events. To address this issue, our paper introduces a …

Abstract We introduce Dynamic Distinction Learning (DDL) for Video Anomaly Detection a
novel video anomaly detection methodology that combines pseudo-anomalies dynamic …

Falls are a major cause of injuries and deaths among older adults worldwide. Accurate fall
detection can help reduce potential injuries and additional health complications. Different …

Many existing video captioning methods capture action information in the video by exploiting
features extracted from an action recognition model. However, directly using the action …

We propose an effective strategy for detecting and localizing anomalous behavior using a
modified end-to-end two-stage encoder-decoder U-shaped network. By building the model …

Nowadays there is growing demand for surveillance applications due to the safety and
security from anomalous events. An anomaly in the video is referred to as an event that has …

Anomaly detection in video data plays a crucial role in numerous applications, such as
industrial monitoring and automated surveillance. This paper presents a novel method for …

Video anomaly detection (VAD) is essential for monitoring systems. The prediction-based
methods identify anomalies by comparing differences between the predicted and real …