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Anomaly analysis in images and videos: A comprehensive review
Anomaly analysis is an important component of any surveillance system. In recent years, it
has drawn the attention of the computer vision and machine learning communities. In this …
has drawn the attention of the computer vision and machine learning communities. In this …
Towards automatic anomaly detection in fisheries using electronic monitoring and automatic identification system
To ensure sustainable fisheries, many complex on-vessel activities are periodically
monitored to provide data to assist the assessment of stock status and ensure fishery …
monitored to provide data to assist the assessment of stock status and ensure fishery …
[HTML][HTML] Crowd anomaly detection in video frames using fine-tuned AlexNet model
This study proposed an AlexNet-based crowd anomaly detection model in the video (image
frames). The proposed model was comprised of four convolution layers (CLs) and three …
frames). The proposed model was comprised of four convolution layers (CLs) and three …
Anomalous event detection and localization in dense crowd scenes
Recognizing and localizing anomalous events in crowd scenes is a challenging problem
that has attracted the attention of researchers in computer vision. Surveillance cameras …
that has attracted the attention of researchers in computer vision. Surveillance cameras …
Scene perception guided crowd anomaly detection
Crowd anomaly detection has been a research hotspot in the field of video surveillance in
recent years. In most existing methods, the accuracy of anomaly detection dominantly relies …
recent years. In most existing methods, the accuracy of anomaly detection dominantly relies …
[HTML][HTML] Object detection algorithms to identify skeletal components in carbonate cores
Identification of constituent grains in carbonate rocks requires specialist experience. A
carbonate sedimentologist must be able to distinguish between skeletal grains that change …
carbonate sedimentologist must be able to distinguish between skeletal grains that change …
Crowd density level estimation and anomaly detection using multicolumn multistage bilinear convolution attention network (MCMS-BCNN-Attention)
The detection of crowd density levels and anomalies is a hot topic in video surveillance.
Especially in human-centric action and activity-based movements. In some respects, the …
Especially in human-centric action and activity-based movements. In some respects, the …
Improving video anomaly detection performance by mining useful data from unseen video frames
Existing state-of-the-a rt (SOTA) video anomaly detection methods have mainly focused on
the network design for obtaining their performance improvements. Different to the main …
the network design for obtaining their performance improvements. Different to the main …
Anomaly detection using convolutional spatiotemporal autoencoder
In this paper an efficient technique for detecting anomalies in videos is proposed. Most of the
applications of Convolutional Neural Networks (CNNs) are based on object detection and …
applications of Convolutional Neural Networks (CNNs) are based on object detection and …
Ambient intelligence and IoT based decision support system for intruder detection
Ambient intelligence is an evolving discipline which brings intelligence to our daily life
through various domains comprising elderly assistance, preventive maintenance, video …
through various domains comprising elderly assistance, preventive maintenance, video …