Abstract Automatic Violence Detection and Classification (AVDC) with deep learning has
garnered significant attention in computer vision research. This paper presents a novel …

Human society significantly relies on CCTV cameras to maintain a high standard of security.
CCTV footage is usually only utilized a few hours or days following an incident. Although it …

针对现有弱监督类异常检测方法只考虑准确性而忽略对未知场景的泛化能力,
导致模型转移到新场景时性能不佳的问题, 提出了一种基于元学习的弱监督视频异常检测方法 …

Closed Circuit Television (CCTV) surveillance systems are widely utilized in public and
private areas in order to increase public safety, such as shopping malls, markets, banks …

In recent years, Video Anomaly Detection (VAD) has received a lot of attention and has
become a popular research topic. This is due to their immense potential in a variety of fields …

Video abnormal behavior detection is a research hotspot in the field of computer vision. By
extracting the spatiotemporal characteristics of video content, we can determine whether …

In recent times the crime rate even in the presence of CCTV is high, and surveillance
footage monitored manually is increasing the chances of suspicious behaviour going …

This work emerges from the need to develop effective crime detection models for
implementation in public safety applications. Given the limitations in collecting extensive and …

The performance of current attention based feature fusion methods depends on the
correlation between features. After feature fusion, due to the inter domain differences of …

Esta tesis se centra en el desarrollo de una aplicación para seguridad ciudadana mediante
técnicas de aprendizaje de máquina, con el objetivo principal de detectar delitos a través …