Sensor-based and vision-based human activity recognition: A comprehensive survey
Human activity recognition (HAR) technology that analyzes data acquired from various types
of sensing devices, including vision sensors and embedded sensors, has motivated the …
of sensing devices, including vision sensors and embedded sensors, has motivated the …
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 …
Video anomaly detection with spatio-temporal dissociation
Anomaly detection in videos remains a challenging task due to the ambiguous definition of
anomaly and the complexity of visual scenes from real video data. Different from the …
anomaly and the complexity of visual scenes from real video data. Different from the …
Artificial Intelligence of Things-assisted two-stream neural network for anomaly detection in surveillance Big Video Data
In the last few years, visual sensors are deployed almost everywhere, generating a massive
amount of surveillance video data in smart cities that can be inspected intelligently to …
amount of surveillance video data in smart cities that can be inspected intelligently to …
Abnormal behavior recognition for intelligent video surveillance systems: A review
AB Mabrouk, E Zagrouba - Expert Systems with Applications, 2018 - Elsevier
With the increasing number of surveillance cameras in both indoor and outdoor locations,
there is a grown demand for an intelligent system that detects abnormal events. Although …
there is a grown demand for an intelligent system that detects abnormal events. Although …
A survey of single-scene video anomaly detection
This article summarizes research trends on the topic of anomaly detection in video feeds of a
single scene. We discuss the various problem formulations, publicly available datasets and …
single scene. We discuss the various problem formulations, publicly available datasets and …
Deep learning-based anomaly detection in video surveillance: A survey
Anomaly detection in video surveillance is a highly developed subject that is attracting
increased attention from the research community. There is great demand for intelligent …
increased attention from the research community. There is great demand for intelligent …
A review of state-of-the-art techniques for abnormal human activity recognition
The concept of intelligent visual identification of abnormal human activity has raised the
standards of surveillance systems, situation cognizance, homeland safety and smart …
standards of surveillance systems, situation cognizance, homeland safety and smart …
Anomaly detection in road traffic using visual surveillance: A survey
Computer vision has evolved in the last decade as a key technology for numerous
applications replacing human supervision. Timely detection of traffic violations and …
applications replacing human supervision. Timely detection of traffic violations and …
Spatial-temporal cascade autoencoder for video anomaly detection in crowded scenes
N Li, F Chang, C Liu - IEEE Transactions on Multimedia, 2020 - ieeexplore.ieee.org
Time-efficient anomaly detection and localization in video surveillance still remains
challenging due to the complexity of “anomaly”. In this paper, we propose a cuboid-patch …
challenging due to the complexity of “anomaly”. In this paper, we propose a cuboid-patch …