Faculty

Engineering

Supervisor Name

Dr. Xianbin Wang

Keywords

IoT, Edge Computing, Computer Engineering, Software Engineering, Video Surveillance, Image Segmentation

Description

Edge computing is critical for intelligent and cost-effective Internet of Things (IoT) applications. In achieving edge-enabled video surveillance, three main limitations, i.e. storage, computational restrictions and high video analysis complexity, have to be overcome. In this project, image segmentation is implemented to reduce heavy resource requirements and improve accuracy on edge devices

Acknowledgements

I would like to express my gratitude to my supervisor, Dr. Xianbin Wang, for his support and guidance throughout the project. As well, thank you to Cesar Gomez, Ruitao Chen, and Sabin Bhandari for their encouragement.

The project was a part of Western University’s USRI program in partnership with Western Research and Scholarship@Western.

Creative Commons License

Creative Commons Attribution-Noncommercial 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 4.0 License.

Document Type

Poster

Event Website

https://usri2021catriona.wordpress.com/

COinS
 

Real-Time Edge-Enabled Video Surveillance

Edge computing is critical for intelligent and cost-effective Internet of Things (IoT) applications. In achieving edge-enabled video surveillance, three main limitations, i.e. storage, computational restrictions and high video analysis complexity, have to be overcome. In this project, image segmentation is implemented to reduce heavy resource requirements and improve accuracy on edge devices

https://ir.lib.uwo.ca/usri/usri2021/researchoutputshowcase/41

 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.