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A comprehensive review on deep learning-based methods for video anomaly detection
Video surveillance systems are popular and used in public places such as market places,
shop** malls, hospitals, banks, streets, education institutions, city administrative offices …
shop** malls, hospitals, banks, streets, education institutions, city administrative offices …
Video anomaly detection: A systematic review of issues and prospects
The increase in the deployment of surveillance camera in outdoor and indoor settings have
resulted in a growing demand for intelligent systems that can accurately detect and …
resulted in a growing demand for intelligent systems that can accurately detect and …
An ensemble deep learning-based cyber-attack detection in industrial control system
The integration of communication networks and the Internet of Things (IoT) in Industrial
Control Systems (ICSs) increases their vulnerability towards cyber-attacks, causing …
Control Systems (ICSs) increases their vulnerability towards cyber-attacks, causing …
Converging blockchain and next-generation artificial intelligence technologies to decentralize and accelerate biomedical research and healthcare
The increased availability of data and recent advancements in artificial intelligence present
the unprecedented opportunities in healthcare and major challenges for the patients …
the unprecedented opportunities in healthcare and major challenges for the patients …
Residual spatiotemporal autoencoder for unsupervised video anomaly detection
Modeling abnormal spatiotemporal events is challenging since data belonging to abnormal
activities are less in the course of a surveillance stream. We solve this issue using a …
activities are less in the course of a surveillance stream. We solve this issue using a …
HML-IDS: A hybrid-multilevel anomaly prediction approach for intrusion detection in SCADA systems
Critical infrastructures, eg, electricity generation and dispersal networks, chemical
processing plants, and gas distribution, are governed and monitored by supervisory control …
processing plants, and gas distribution, are governed and monitored by supervisory control …
Crowd anomaly detection using aggregation of ensembles of fine-tuned convnets
Anomaly detection in crowded scenes plays a crucial role in automatic video surveillance to
avert any casualty in the areas witnessing the high amount of footfalls. The key challenge for …
avert any casualty in the areas witnessing the high amount of footfalls. The key challenge for …
Transfer deep learning along with binary support vector machine for abnormal behavior detection
Today, machine learning and deep learning have paved the way for vital and critical
applications such as abnormal detection. Despite the modernity of transfer learning, it has …
applications such as abnormal detection. Despite the modernity of transfer learning, it has …
Video anomaly detection and localization based on an adaptive intra-frame classification network
Video anomaly detection and localization is still a challenging task in the computer vision
field. Previous methods took this task as an outlier detection problem, which computed the …
field. Previous methods took this task as an outlier detection problem, which computed the …
Abnormal event detection in crowded scenes using one-class SVM
In this paper, a new method for detecting abnormal events in public surveillance systems is
proposed. In the first step of the proposed method, candidate regions are extracted, and the …
proposed. In the first step of the proposed method, candidate regions are extracted, and the …