[PDF][PDF] The use of multi-sensor video surveillance system to assess the capacity of the road network

V Shepelev, S Aliukov, K Nikolskaya, A Das… - Transport and …, 2020 - sciendo.com
Cameras definitely make the roads safer. Automatic analysis of vehicle activity in
monitoring traffic in cities is an important and urgent problem due to the large number of traffic …

IoT-based smart healthcare video surveillance system using edge computing

R Rajavel, SK Ravichandran, K Harimoorthy… - Journal of ambient …, 2022 - Springer
… on the internet (wireless link side) and huge storage and computing at aggregation point (…
) video surveillance system addresses the use of robust and intelligent live video analysis

[HTML][HTML] Recent trends in crowd analysis: A review

M Bendali-Braham, J Weber, G Forestier… - Machine Learning with …, 2021 - Elsevier
… The authors point out that a big part of the studies carried out in crowd behavior analysis is
… of multiple cameras. We can visualize the taxonomy proposed for crowd behavior analysis in …

Deep neural networks enable quantitative movement analysis using single-camera videos

Ł Kidziński, B Yang, JL Hicks, A Rajagopal… - Nature …, 2020 - nature.com
… measures, indicating that our video analysis could be used as a … In this study, we had
access to a large dataset to train our … Our approach shows the potential for using of video-based …

Consumer behavior in the online classroom: Using video analytics and machine learning to understand the consumption of video courseware

M Zhou, GH Chen, P Ferreira… - Journal of Marketing …, 2021 - journals.sagepub.com
… on video analysis and … a video feature framework based on recently developed machine
learning techniques to automatically quantify video features—facilitating the analysis of large

A survey on deep learning-based real-time crowd anomaly detection for secure distributed video surveillance

K Rezaee, SM Rezakhani, MR Khosravi… - Personal and Ubiquitous …, 2024 - Springer
video processing is one of the most cardinal topics in big data … video analysis algorithms
is to develop and improve detection systems in the field of human motion detection and analysis

Server-driven video streaming for deep learning inference

K Du, A Pervaiz, X Yuan, A Chowdhery… - Proceedings of the …, 2020 - dl.acm.org
… is needed (eg, large targeted objects will be selected by RPNs but they do not need high …
We start with the background of video streaming for distributed video analytics, including its …

Many-objective deployment optimization for a drone-assisted camera network

B Cao, M Li, X Liu, J Zhao, W Cao… - … transactions on network …, 2021 - ieeexplore.ieee.org
… Lyapunov-type analysis. The results showed that the attitude deployment of the droneassisted …
In future work, we will consider large-scale cooperation among UAVs, binocular camera

End-to-end camera calibration for broadcast videos

L Sha, J Hobbs, P Felsen, X Wei… - Proceedings of the …, 2020 - openaccess.thecvf.com
… relatively large transforms, which enables the network to use far fewer templates for camera
… for this task so that we can handle large non-affine transformation and use a smaller camera

Meva: A large-scale multiview, multimodal video dataset for activity detection

K Corona, K Osterdahl, R Collins… - Proceedings of the …, 2021 - openaccess.thecvf.com
… Multiview Extended Video with Activities (MEVA) dataset[6], a new and very-large-scale …
video disseminated due to its content, which typically excludes same-scene background video, …