An Enhanced Video Anomaly Detection System for Smart City Management

Y Wang, S Zhu, Y Zhao, J Zhang, KL Man - 한국ITS 학회학술대회, 2022 - earticle.net
Since the popularity of city monitoring systems has increased, surveillance videos have
become more common. However, due to the massive increment of social event needs after …

A comprehensive review for video anomaly detection on videos

ZK Abbas, AA Al-Ani - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Video Surveillance Systems (VSS) are widely utilized in public and private areas to increase
public safety, such as shopping malls, markets, banks, hospitals, educational institutions …

[图书][B] Deep Learning in Video Anomaly Detection and Its Applications

Y Zhao - 2021 - search.proquest.com
With the popularization of the city monitoring system, surveillance videos have been
increasingly presented. Traditional methods for video analytic require professionals to …

A novel two-stream structure for video anomaly detection in smart city management

Y Zhao, KL Man, J Smith, SU Guan - The Journal of Supercomputing, 2022 - Springer
Video anomaly detection is the problem of detecting unusual events in videos. The
challenges of this task lie mainly in the following aspects: first, unusual events tend to make …

A survey on deep learning based video anomaly detection

HE Ping, LI Gang, LI Hui-bin - Computer Engineering & Science, 2022 - joces.nudt.edu.cn
Recent years, with the widespread use of video surveillance technology, video anomaly
detection, which can intelligently analyze massive videos and quickly discover the …

A Recent Review of Video Anomaly Detection for Smart Cities

M Ghoulami, M Miyara, N Messaoudi, Z Chiba… - … Conference of Advanced …, 2022 - Springer
According to Maslow's hierarchy of needs, safety is a crucial component that must be
satisfied before individuals can attend to higher up needs. Therefore, video surveillance …

Video Anomaly Detection Based on Convolutional Neural Network

김태훈 - 아시아태평양융합연구교류논문지, 2022 - dbpia.co.kr
The intelligent video surveillance technology, which can analyze and report the abnormal
events that endanger the social order real time, has been widely used. As an important …

Video Anomaly Detection Method using Deep Learning Models and Crowd Workers

R Itano, T Nohara, T Koita - IEICE Technical Report; IEICE Tech. Rep., 2022 - ken.ieice.org
(in English) In recent years, the number of surveillance cameras installed has been
increasing due to the spread of IoT. However, this does not mean an increase in manpower …

A comprehensive review on deep learning-based methods for video anomaly detection

R Nayak, UC Pati, SK Das - Image and Vision Computing, 2021 - Elsevier
Video surveillance systems are popular and used in public places such as market places,
shopping malls, hospitals, banks, streets, education institutions, city administrative offices …

[PDF][PDF] Detection of anomalous events based on deep learning-bilstm

ZK Abbas, AA Al-Ani - Iraqi Journal of Information and Communication …, 2022 - iasj.net
Video anomaly detection in smart cities is a critical errand in computer vision that plays an
imperative role in intelligent surveillance and public security but is challenging due to its …