Du Yong Kim
Du Yong Kim
Lecturer (Vice-Chancellor's Research Fellow), RMIT University
Потвърден имейл адрес: rmit.edu.au - Начална страница
Stem cell migration and mechanotransduction on linear stiffness gradient hydrogels
YSC William J Hadden, Jennifer L Young, Andrew W Holle, Meg L McFetridge, Du ...
Proceedings of the National Academy of Sciences, 201618239, 2017
A particle multi-target tracker for superpositional measurements using labeled random finite sets
F Papi, DY Kim
IEEE Transactions on Signal Processing 63 (16), 4348-4358, 2015
Data fusion of radar and image measurements for multi-object tracking via Kalman filtering
DY Kim, M Jeon
Information Sciences 278, 641-652, 2014
Visual Tracking via Adaptive Tracker Selection with Multiple Features
J Yoon, D Kim, KJ Yoon
Computer Vision–ECCV 2012, 28-41, 2012
Multiple object tracking in unknown backgrounds with labeled random finite sets
YG Punchihewa, BT Vo, BN Vo, DY Kim
IEEE Transactions on Signal Processing 66 (11), 3040-3055, 2018
Data association for multi-object tracking via deep neural networks
K Yoon, DY Kim, YC Yoon, M Jeon
Sensors 19 (3), 559, 2019
A labeled random finite set online multi-object tracker for video data
DY Kim, BN Vo, BT Vo, M Jeon
Pattern Recognition 90, 377-389, 2019
Joint Initialization and Tracking of Multiple Moving Objects Using Doppler Information
J Yoon, D Kim, S Bae, V Shin
Signal Processing, IEEE Transactions on, 1-1, 2011
Online multiple pedestrians tracking using deep temporal appearance matching association
YC Yoon, DY Kim, Y Song, K Yoon, M Jeon
Information Sciences 561, 326-351, 2021
Efficient importance sampling function design for sequential Monte Carlo PHD filter
JH Yoon, DY Kim, KJ Yoon
Signal Processing 92 (9), 2315-2321, 2012
Multi-Bernoulli filter for target tracking with multi-static Doppler only measurement
M Liang, DY Kim, X Kai
Signal Processing 108, 102-110, 2015
A bayesian filter for multi-view 3d multi-object tracking with occlusion handling
J Ong, BT Vo, BN Vo, DY Kim, S Nordholm
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
Optimal receding horizon filter for continuous-time nonlinear stochastic systems
DY Kim, V Shin
Proceedings of the 6th Conference on 6th WSEAS International Conference on …, 2007
An optimal receding horizon FIR filter for continuous-time linear systems
DY Kim, V Shin
2006 SICE-ICASE International Joint Conference, 263-265, 2006
Data fusion in 3D vision using a RGB-D data via switching observation model and its application to people tracking
DY Kim, BT Vo, BN Vo
2013 International Conference on Control, Automation and Information …, 2013
Spatio-Temporal Auxiliary Particle Filtering with L1-norm based Appearance Model Learning for Robust Visual Tracking
DY Kim, M Jeon
IEEE Transactions on Image Processing 22 (2), 511-522, 2013
Robust distributed Kalman filter for wireless sensor networks with uncertain communication channels
DY Kim, M Jeon
Mathematical Problems in Engineering 2012, 2012
Online visual multi-object tracking via labeled random finite set filtering
DY Kim, BN Vo, BT Vo
arXiv preprint arXiv:1611.06011, 2016
Receding horizon filtering for discrete-time linear systems with state and observation delays
IY Song, DY Kim, V Shin, M Jeon
IET Radar, Sonar & Navigation 6 (4), 263-271, 2012
Gaussian mixture importance sampling function for unscented SMC-PHD filter
JH Yoon, DY Kim, KJ Yoon
Signal Processing 93 (9), 2664-2670, 2013
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