An analysis of artificial intelligence techniques in surveillance video anomaly detection: A comprehensive survey
Surveillance cameras have recently been utilized to provide physical security services
globally in diverse private and public spaces. The number of cameras has been increasing …
globally in diverse private and public spaces. The number of cameras has been increasing …
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 …
Context aware crowd tracking and anomaly detection via deep learning and social force model
The world's expanding populace, the variety of human social factors, and the densely
populated environment make humans feel uncertain. Individuals need a safety officer who …
populated environment make humans feel uncertain. Individuals need a safety officer who …
Multi-pedestrians anomaly detection via conditional random field and deep learning
F Abdullah, A Jalal - 2023 4th International Conference on …, 2023 - ieeexplore.ieee.org
Automated video surveillance frameworks quickly distinguish surprising and basic
circumstances in a packed climate that would help to pursue sufficient choices for security …
circumstances in a packed climate that would help to pursue sufficient choices for security …
A survey of video-based human action recognition in team sports
Over the past few decades, numerous studies have focused on identifying and recognizing
human actions using machine learning and computer vision techniques. Video-based …
human actions using machine learning and computer vision techniques. Video-based …
Efficient Crowd Anomaly Detection Using Sparse Feature Tracking and Neural Network
Crowd anomaly detection is crucial in enhancing surveillance and crowd management. This
paper proposes an efficient approach that combines spatial and temporal visual descriptors …
paper proposes an efficient approach that combines spatial and temporal visual descriptors …
Deep crowd anomaly detection: state-of-the-art, challenges, and future research directions
Crowd anomaly detection is one of the most popular topics in computer vision in the context
of smart cities. A plethora of deep learning methods have been proposed that generally …
of smart cities. A plethora of deep learning methods have been proposed that generally …
Multimedia datasets for anomaly detection: a review
Multimedia anomaly datasets play a crucial role in automated surveillance. They have a
wide range of applications expanding from outlier objects/situation detection to the detection …
wide range of applications expanding from outlier objects/situation detection to the detection …
Crowd density level estimation and anomaly detection using multicolumn multistage bilinear convolution attention network (MCMS-BCNN-Attention)
E Ekanayake, Y Lei, C Li - Applied Sciences, 2022 - mdpi.com
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 …
Hybrid video anomaly detection for anomalous scenarios in autonomous driving
In autonomous driving, the most challenging scenarios can only be detected within their
temporal context. Most video anomaly detection approaches focus either on surveillance or …
temporal context. Most video anomaly detection approaches focus either on surveillance or …