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@article{ART002698409},
author={Min-Kim and PARK DONGHYUN},
title={Deep learning based Person Re-identification with RGB-D sensors},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2021},
volume={26},
number={3},
pages={35-42},
doi={10.9708/jksci.2021.26.03.035}

TY - JOUR
AU - Min-Kim
AU - PARK DONGHYUN
TI - Deep learning based Person Re-identification with RGB-D sensors
JO - Journal of The Korea Society of Computer and Information
PY - 2021
VL - 26
IS - 3
PB - The Korean Society Of Computer And Information
SP - 35
EP - 42
SN - 1598-849X
AB - In this paper, we propose a deep learning-based person re-identification method using a three-dimensional RGB-Depth Xtion2 camera considering joint coordinates and dynamic features(velocity, acceleration). The main idea of the proposed identification methodology is to easily extract gait data such as joint coordinates, dynamic features with an RGB-D camera and automatically identify gait patterns through a self-designed one-dimensional convolutional neural network classifier(1D-ConvNet). The accuracy was measured based on the F1 Score, and the influence was measured by comparing the accuracy with the classifier model (JC) that did not consider dynamic characteristics. As a result, our proposed classifier model in the case of considering the dynamic characteristics(JCSpeed) showed about 8% higher F1-Score than JC.
KW - person re-identification;surveillance system;deep learning;human action recognition;multi class identification
DO - 10.9708/jksci.2021.26.03.035
ER -

Min-Kim and PARK DONGHYUN. (2021). Deep learning based Person Re-identification with RGB-D sensors. Journal of The Korea Society of Computer and Information, 26(3), 35-42.

Min-Kim and PARK DONGHYUN. 2021, "Deep learning based Person Re-identification with RGB-D sensors", Journal of The Korea Society of Computer and Information, vol.26, no.3 pp.35-42. Available from: doi:10.9708/jksci.2021.26.03.035

Min-Kim, PARK DONGHYUN "Deep learning based Person Re-identification with RGB-D sensors" Journal of The Korea Society of Computer and Information 26.3 pp.35-42 (2021) : 35.

Min-Kim, PARK DONGHYUN. Deep learning based Person Re-identification with RGB-D sensors. 2021; 26(3), 35-42. Available from: doi:10.9708/jksci.2021.26.03.035

Min-Kim and PARK DONGHYUN. "Deep learning based Person Re-identification with RGB-D sensors" Journal of The Korea Society of Computer and Information 26, no.3 (2021) : 35-42.doi: 10.9708/jksci.2021.26.03.035

Min-Kim; PARK DONGHYUN. Deep learning based Person Re-identification with RGB-D sensors. Journal of The Korea Society of Computer and Information, 26(3), 35-42. doi: 10.9708/jksci.2021.26.03.035

Min-Kim; PARK DONGHYUN. Deep learning based Person Re-identification with RGB-D sensors. Journal of The Korea Society of Computer and Information. 2021; 26(3) 35-42. doi: 10.9708/jksci.2021.26.03.035

Min-Kim, PARK DONGHYUN. Deep learning based Person Re-identification with RGB-D sensors. 2021; 26(3), 35-42. Available from: doi:10.9708/jksci.2021.26.03.035

Min-Kim and PARK DONGHYUN. "Deep learning based Person Re-identification with RGB-D sensors" Journal of The Korea Society of Computer and Information 26, no.3 (2021) : 35-42.doi: 10.9708/jksci.2021.26.03.035