1 |
X. Lei & Z. Sui. (2019). Intelligent fault detection of high voltage line based on the Faster R-CNN, Measurement, 138, 379-385. DOI : 10.1016/j.measurement.2019.01.072
DOI
|
2 |
Y. Jamtsho, P. Riyamongkol & R. Waranusast (2020) Real-time Bhutanese license plate localization using YOLO, ICT Express, 6(2), 121-124. DOI : 10.1016/j.icte.2019.11.001
DOI
|
3 |
Z. Tang, M. Naphade, M-Y Liu, X. Yang, S. Birchfield, S. Wang, R. Kumar & D. Anastasiu, J. N. Hwang (2019) Cityflow: A city-scale benchmark for multi-target multi-camera vehicle tracking and re-identification, CVPR, 8797-8806. DOI : 10.1109/cvpr.2019.00900
DOI
|
4 |
Z. Zivkovic. (2004). Improved adaptive Gaussian mixture model for background subtraction, In Proc of the 17th International Conference on Pattern Recognition, ICPR, 2, 28-31. DOI : 10.1109/icpr.2004.1333992
DOI
|
5 |
Z. Zivkovic & F. van der Heijden. (2006) Efficient adaptive density estimation per image pixel for the task of background subtraction, Pattern Recognition Letters, 27(7), 773-780. DOI : 10.1016/j.patrec.2005.11.005
DOI
|
6 |
A. Bochkovskiy, C. Y. Wang & H. Y. M. Liao. (2020). YOLOv4: Optimal Speed and Accuracy of Object Detection, arXiv preprint arXiv:2004.10934.
|
7 |
H. Yoo & K. Chung. (2020). Deep Learning-based Evolutionary Recommendation Model for Heterogeneous Big Data Integration, KSII Transactions on Internet and Information Systems, 14(9), 3730-3744. DOI : 10.3837/tiis.2020.09.009
DOI
|
8 |
D. H. Shin, R. C. Park & K. Chung. (2020). Prediction of Traffic Congestion Based on LSTM Through Correction of Missing Temporal and Spatial Data, IEEE Access, 8, 150784-150796. DOI : 10.1109/access.2020.3016469
DOI
|
9 |
C. M. Kim, E. J. Hong, K. Chung & R. C. Park. (2020). Driver Facial Expression Analysis Using LFA-CRNN-Based Feature Extraction for Health-Risk Decisions, Applied Sciences, 10(8), 2956. DOI : 10.3390/app10082956
DOI
|
10 |
D. H. Shin, R. C. Park & K. Chung (2020) Decision Boundary-Based Anomaly Detection Model Using Improved AnoGAN From ECG Data, IEEE Access, 8, 108664-108674. DOI : 10.1109/access.2020.3000638
DOI
|
11 |
HYUNDAI Tech, https://tech.hyundaimotorgroup.com/
|
12 |
T. Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona & D. Ramanan. (2014). Microsoft coco: Common objects in context, In European conference on computer vision, 740-755. DOI : 10.1007/978-3-319-10602-1_48
DOI
|
13 |
S. S. Park, J. W. Baek, S. M. Jo & K. Chung. (2019). Motion Monitoring using Mask R-CNN for Articulation Disease Management, Journal of the Korea Convergence Society, 10(3), 1-6. DOI : 10.15207/JKCS.2019.10.3.001
DOI
|
14 |
C. Ma, L. Chen & J. Yong. (2019). AU R-CNN: Encoding expert prior knowledge into R-CNN for action unit detection, Neurocomputing, 355, 35-47. DOI : 10.1016/j.neucom.2019.03.082
DOI
|
15 |
J. Li, X. Liang, S. Shen, T. Xu, J. Feng & S. Yan. (2017). Scale-aware fast R-CNN for pedestrian detection, IEEE transactions on Multimedia, 20(4), 985-996. DOI : 10.1109/tmm.2017.2759508
DOI
|