Multi-object tracking through learning relational appearance features and motion patterns

J. Gwak* , Computer Vision and Image Understanding , vol. 162, pp. 103-115, 2017. (JCR 2023 IF=4.5, Q2 in Engineering, Electrical & Electronic)

Diagnosis of Alzheimer's disease based on structural MRI images using a regularized extreme learning machine and PCA features

R. K. Lama, J. Gwak, J-S. Park, S-W. Lee* , Journal of Healthcare Engineering , vol. 2017, article ID 5485080, 11 pages, 2017. (JCR 2023 IF=3.822, Q2 in Health Care Sciences & services)

Viewpoint invariant person re-identification for global multi-object tracking with non-overlapping cameras

J. Gwak, G. Park, and M. Jeon* , KSII Transactions on Internet and Information Systems , vol. 11, no. 4, pp. 2075-2092, 2017. (JCR 2023 IF=1.5, Q4 in Computer Science, Information Systems)

CRF-Boosting: Constructing a robust online hybrid boosting multiple object trackers facilitated by CRF learning

E. Yang, J. Gwak, M. Jeon* , Sensors , vol. 17, no. 3, pp. 617:1-617:18, 2017. (JCR 2023 IF=3.9, Q2 in Chemistry, Analytical)

Multi-human tracking using part-based appearance modelling and grouping-based tracklet association for visual surveillance applications

E. Yang, J. Gwak and M. Jeon* , Multimedia Tools and Applications , vol. 76, no. 5, pp. 6731-6754, 2017. (JCR 2023 IF=3.6, Q2 in Computer Science, Software Engineering)