Type

Conference Proceedings

Authors

Suzanne Little
Noel E. O'Connor
Dian Zhang
Mark Marsden
Camille Ballas

Subjects

Computer Science

Topics
image processing machine learning real time internet of things computer engineering data management performance monitoring video processing

Performance of video processing at the edge for crowd-monitoring applications (2018)

Abstract Video analytics has a key role to play in smart cities and connected community applications such as crowd counting, activity detection, event classification, traffic counting etc. Using a cloud-centric approach where data is funneled to a central processor presents a number of key problems such as available bandwidth, real-time responsiveness and personal data privacy issues. With the development of edge computing, a new paradigm for smart data management is emerging. Raw video feeds can be pre-processed at the point of capture while integration and deeper analytics is performed in the cloud. In this paper we explore the capacity of video processing at the edge and shown that basic image processing can be achieved in near real-time on low-powered gateway devices. We have also investigated deep learning model capabilities for crowd counting in this context showing that its performance is highly dependent on the input size and re-scaling video frames can optimise processing and performance. Increased edge processing resolves a number of issues in video analytics for crowd monitoring applications.
Collections Ireland -> Dublin City University -> Publication Type = Conference or Workshop Item
Ireland -> Dublin City University -> DCU Faculties and Centres = DCU Faculties and Schools: Faculty of Engineering and Computing: School of Computing
Ireland -> Dublin City University -> Subject = Computer Science: Image processing
Ireland -> Dublin City University -> Status = Published
Ireland -> Dublin City University -> DCU Faculties and Centres = DCU Faculties and Schools: Faculty of Engineering and Computing: School of Electronic Engineering
Ireland -> Dublin City University -> Subject = Computer Science: Computer engineering
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres: INSIGHT Centre for Data Analytics
Ireland -> Dublin City University -> Subject = Computer Science: Machine learning

Full list of authors on original publication

Suzanne Little, Noel E. O'Connor, Dian Zhang, Mark Marsden, Camille Ballas

Experts in our system

1
Suzanne Little
Dublin City University
Total Publications: 36
 
2
Noel E. O'Connor
Dublin City University
Total Publications: 474
 
3
Dian Zhang
Dublin City University
Total Publications: 17
 
4
Mark Marsden
Dublin City University
Total Publications: 10
 
5
Camille Ballas
Dublin City University
Total Publications: 3