Generalized video anomaly event detection: Systematic taxonomy and comparison of deep models
Video Anomaly Detection (VAD) serves as a pivotal technology in the intelligent surveillance
systems, enabling the temporal or spatial identification of anomalous events within videos …
systems, enabling the temporal or spatial identification of anomalous events within videos …
Towards Risk‐Free Trustworthy Artificial Intelligence: Significance and Requirements
Given the tremendous potential and influence of artificial intelligence (AI) and algorithmic
decision‐making (DM), these systems have found wide‐ranging applications across diverse …
decision‐making (DM), these systems have found wide‐ranging applications across diverse …
A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications
Data scarcity is a major challenge when training deep learning (DL) models. DL demands a
large amount of data to achieve exceptional performance. Unfortunately, many applications …
large amount of data to achieve exceptional performance. Unfortunately, many applications …
Exploring diffusion models for unsupervised video anomaly detection
This paper investigates the performance of diffusion models for video anomaly detection
(VAD) within the most challenging but also the most operational scenario in which the data …
(VAD) within the most challenging but also the most operational scenario in which the data …
Novel deep feature fusion framework for multi-scenario violence detection
Detecting violence in various scenarios is a difficult task that requires a high degree of
generalisation. This includes fights in different environments such as schools, streets, and …
generalisation. This includes fights in different environments such as schools, streets, and …
[HTML][HTML] Reliable deep learning framework for the ground penetrating radar data to locate the horizontal variation in levee soil compaction
The degree of compaction in the levee building materials is a crucial factor that affects the
piping phenomena. The density and compaction of the soil strata determine the structural …
piping phenomena. The density and compaction of the soil strata determine the structural …
A Comprehensive Survey of Machine Learning Methods for Surveillance Videos Anomaly Detection
Video Surveillance Systems (VSSs) are used in a wide range of applications including
public safety and perimeter security. They are deployed in places such as markets …
public safety and perimeter security. They are deployed in places such as markets …
A hybrid artistic model using deepy-dream model and multiple convolutional neural networks architectures
The significant increase in drug abuse cases prompts developers to investigate techniques
that mimic the hallucinations imagined by addicts and abusers, in addition to the increasing …
that mimic the hallucinations imagined by addicts and abusers, in addition to the increasing …
Detection of Anomalous Behavior of Manufacturing Workers Using Deep Learning-Based Recognition of Human–Object Interaction
R Rijayanti, M Hwang, K Jin - Applied Sciences, 2023 - mdpi.com
The increasing demand for industrial products has expanded production quantities, leading
to negative effects on product quality, worker productivity, and safety during working hours …
to negative effects on product quality, worker productivity, and safety during working hours …
Unsupervised video anomaly detection with diffusion models conditioned on compact motion representations
This paper aims to address the unsupervised video anomaly detection (VAD) problem,
which involves classifying each frame in a video as normal or abnormal, without any access …
which involves classifying each frame in a video as normal or abnormal, without any access …