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 …
Edge intelligence: Architectures, challenges, and applications
Edge intelligence refers to a set of connected systems and devices for data collection,
caching, processing, and analysis in locations close to where data is captured based on …
caching, processing, and analysis in locations close to where data is captured based on …
Edge intelligence: Empowering intelligence to the edge of network
Edge intelligence refers to a set of connected systems and devices for data collection,
caching, processing, and analysis proximity to where data are captured based on artificial …
caching, processing, and analysis proximity to where data are captured based on artificial …
Deep-anomaly: Fully convolutional neural network for fast anomaly detection in crowded scenes
The detection of abnormal behaviour in crowded scenes has to deal with many challenges.
This paper presents an efficient method for detection and localization of anomalies in …
This paper presents an efficient method for detection and localization of anomalies in …
RWF-2000: an open large scale video database for violence detection
In recent years, surveillance cameras are widely deployed in public places, and the general
crime rate has been reduced significantly due to these ubiquitous devices. Usually, these …
crime rate has been reduced significantly due to these ubiquitous devices. Usually, these …
Learning deep event models for crowd anomaly detection
Y Feng, Y Yuan, X Lu - Neurocomputing, 2017 - Elsevier
Abnormal event detection in video surveillance is extremely important, especially for
crowded scenes. In recent years, many algorithms have been proposed based on hand …
crowded scenes. In recent years, many algorithms have been proposed based on hand …
RETRACTED: Efficient anomaly detection in surveillance videos based on multi layer perception recurrent neural network
M Murugesan, S Thilagamani - 2020 - Elsevier
RETRACTED: Efficient anomaly detection in surveillance videos based on multi layer perception
recurrent neural network - ScienceDirect Skip to main contentSkip to article Elsevier logo …
recurrent neural network - ScienceDirect Skip to main contentSkip to article Elsevier logo …
Revisiting crowd behaviour analysis through deep learning: Taxonomy, anomaly detection, crowd emotions, datasets, opportunities and prospects
Crowd behaviour analysis is an emerging research area. Due to its novelty, a proper
taxonomy to organise its different sub-tasks is still missing. This paper proposes a taxonomic …
taxonomy to organise its different sub-tasks is still missing. This paper proposes a taxonomic …
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 …
Unsupervised anomaly detection and localization based on deep spatiotemporal translation network
Anomaly detection is of great significance for intelligent surveillance videos. Current works
typically struggle with object detection and localization problems due to crowded and …
typically struggle with object detection and localization problems due to crowded and …