@article{ART003055300},
author={Dae-Hyun Kim and Hyo Hyun Choi},
title={A Research on Cylindrical Pill Bottle Recognition with YOLOv8 and ORB},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2024},
volume={29},
number={2},
pages={13-20},
doi={10.9708/jksci.2024.29.02.013}
TY - JOUR
AU - Dae-Hyun Kim
AU - Hyo Hyun Choi
TI - A Research on Cylindrical Pill Bottle Recognition with YOLOv8 and ORB
JO - Journal of The Korea Society of Computer and Information
PY - 2024
VL - 29
IS - 2
PB - The Korean Society Of Computer And Information
SP - 13
EP - 20
SN - 1598-849X
AB - This paper introduces a method for generating model images that can identify specific cylindrical medicine containers in videos and investigates data collection techniques. Previous research had separated object detection from specific object recognition, making it challenging to apply automated image stitching. A significant issue was that the coordinate-based object detection method included extraneous information from outside the object area during the image stitching process. To overcome these challenges, this study applies the newly released YOLOv8 (You Only Look Once) segmentation technique to vertically rotating pill bottles video and employs the ORB (Oriented FAST and Rotated BRIEF) feature matching algorithm to automate model image generation. The research findings demonstrate that applying segmentation techniques improves recognition accuracy when identifying specific pill bottles. The model images created with the feature matching algorithm could accurately identify the specific pill bottles.
KW - Image Detection;Feature Matching;Image Stitching;YOLOv8;Image Segmentation
DO - 10.9708/jksci.2024.29.02.013
ER -
Dae-Hyun Kim and Hyo Hyun Choi. (2024). A Research on Cylindrical Pill Bottle Recognition with YOLOv8 and ORB. Journal of The Korea Society of Computer and Information, 29(2), 13-20.
Dae-Hyun Kim and Hyo Hyun Choi. 2024, "A Research on Cylindrical Pill Bottle Recognition with YOLOv8 and ORB", Journal of The Korea Society of Computer and Information, vol.29, no.2 pp.13-20. Available from: doi:10.9708/jksci.2024.29.02.013
Dae-Hyun Kim, Hyo Hyun Choi "A Research on Cylindrical Pill Bottle Recognition with YOLOv8 and ORB" Journal of The Korea Society of Computer and Information 29.2 pp.13-20 (2024) : 13.
Dae-Hyun Kim, Hyo Hyun Choi. A Research on Cylindrical Pill Bottle Recognition with YOLOv8 and ORB. 2024; 29(2), 13-20. Available from: doi:10.9708/jksci.2024.29.02.013
Dae-Hyun Kim and Hyo Hyun Choi. "A Research on Cylindrical Pill Bottle Recognition with YOLOv8 and ORB" Journal of The Korea Society of Computer and Information 29, no.2 (2024) : 13-20.doi: 10.9708/jksci.2024.29.02.013
Dae-Hyun Kim; Hyo Hyun Choi. A Research on Cylindrical Pill Bottle Recognition with YOLOv8 and ORB. Journal of The Korea Society of Computer and Information, 29(2), 13-20. doi: 10.9708/jksci.2024.29.02.013
Dae-Hyun Kim; Hyo Hyun Choi. A Research on Cylindrical Pill Bottle Recognition with YOLOv8 and ORB. Journal of The Korea Society of Computer and Information. 2024; 29(2) 13-20. doi: 10.9708/jksci.2024.29.02.013
Dae-Hyun Kim, Hyo Hyun Choi. A Research on Cylindrical Pill Bottle Recognition with YOLOv8 and ORB. 2024; 29(2), 13-20. Available from: doi:10.9708/jksci.2024.29.02.013
Dae-Hyun Kim and Hyo Hyun Choi. "A Research on Cylindrical Pill Bottle Recognition with YOLOv8 and ORB" Journal of The Korea Society of Computer and Information 29, no.2 (2024) : 13-20.doi: 10.9708/jksci.2024.29.02.013
