Chloe Eunhyang Kim
A Comparison of Embedded Deep Learning Methods for Person Detection
Kim, Chloe Eunhyang; Oghaz, Mandi Maktab Dar; Fajtl, Jiri; Argyriou, Vasileios; Remagnino, Paolo
Authors
Mandi Maktab Dar Oghaz
Jiri Fajtl
Vasileios Argyriou
Professor Paolo Remagnino paolo.remagnino@durham.ac.uk
Professor in Computer Science
Contributors
A Tremeau
Editor
GM Farinella
Editor
J Braz
Editor
Citation
Kim, C. E., Oghaz, M. M. D., Fajtl, J., Argyriou, V., & Remagnino, P. (2019, December). A Comparison of Embedded Deep Learning Methods for Person Detection. Presented at PROCEEDINGS OF THE 14TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS (VISAPP), VOL 5
| Presentation Conference Type | Conference Paper (published) |
|---|---|
| Conference Name | PROCEEDINGS OF THE 14TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS (VISAPP), VOL 5 |
| Publication Date | 2019 |
| Deposit Date | Sep 6, 2022 |
| Pages | 459-465 |
| DOI | https://doi.org/10.5220/0007386304590465 |
| Public URL | https://durham-repository.worktribe.com/output/1135549 |
You might also like
An approach to localize the retinal blood vessels using bit planes and centerline detection
(2012)
Journal Article
How deep learning extracts and learns leaf features for plant classification
(2017)
Journal Article