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 …

A review on human activity recognition using vision‐based method

S Zhang, Z Wei, J Nie, L Huang… - Journal of healthcare …, 2017 - Wiley Online Library
Human activity recognition (HAR) aims to recognize activities from a series of observations
on the actions of subjects and the environmental conditions. The vision‐based HAR …

Ancilia: Scalable intelligent video surveillance for the artificial intelligence of things

AD Pazho, C Neff, GA Noghre… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
With the advancement of vision-based artificial intelligence, the proliferation of the Internet of
Things connected cameras, and the increasing societal need for rapid and equitable …

Edge video analytics for public safety: A review

Q Zhang, H Sun, X Wu, H Zhong - Proceedings of the IEEE, 2019 - ieeexplore.ieee.org
With the installation of enormous public safety and transportation infrastructure cameras,
video analytics has come to play an essential part in public safety. Typically, video analytics …

A systematic review of intelligence video surveillance: Trends, techniques, frameworks, and datasets

GF Shidik, E Noersasongko, A Nugraha… - IEEE …, 2019 - ieeexplore.ieee.org
Video surveillance systems obtain a great interest as application-oriented studies that have
been growing rapidly in the past decade. The most recent studies attempt to integrate …

Smart monitoring cameras driven intelligent processing to big surveillance video data

Z Shao, J Cai, Z Wang - IEEE Transactions on Big Data, 2017 - ieeexplore.ieee.org
Video surveillance system has become a critical part in the security and protection system of
modem cities, since smart monitoring cameras equipped with intelligent video analytics …

[HTML][HTML] A hybrid framework combining background subtraction and deep neural networks for rapid person detection

C Kim, J Lee, T Han, YM Kim - Journal of Big Data, 2018 - Springer
Currently, the number of surveillance cameras is rapidly increasing responding to security
issues. But constructing an intelligent detection system is not easy because it needs high …

Opportunities, applications, and challenges of edge-AI enabled video analytics in smart cities: a systematic review

E Badidi, K Moumane, F El Ghazi - IEEE Access, 2023 - ieeexplore.ieee.org
Video analytics with deep learning techniques has generated immense interest in academia
and industry, captivating minds with its transformative potential. Deep learning techniques …

[HTML][HTML] Remote monitoring system using slow-fast deep convolution neural network model for identifying anti-social activities in surveillance applications

EM Onyema, S Balasubaramanian, C Iwendi… - Measurement …, 2023 - Elsevier
Remote monitoring is the process that monitors and observes information from a distance
utilizing sensors or electronic types of equipment. Remote monitoring is used in real-time …

[HTML][HTML] Motion-compensated online object tracking for activity detection and crowd behavior analysis

AS Patel, R Vyas, OP Vyas, M Ojha, V Tiwari - The Visual Computer, 2023 - Springer
It is a nontrivial task to manage crowds in public places and recognize unacceptable
behavior (such as violating social distancing norms during the COVID-19 pandemic). In such …