Du Yong Kim, PH.D.

News: Our paper ''Visual Multi-Object Tracking with Re-Identification and Occlusion Handling using Labeled Random Finite Seets'' ha been accepted to Pattern Recognition, Elseiver.

Our paper ''A Possibilistic Formulation of Autonomous Search for Targets'' has been accpeted to Entropy.

Education

• Sept. 2006 – Aug. 2011: Ph.D. in Machine Learning and Vision Lab, School of Information and Communications, Gwangju Institute of Science and Technology (GIST), Gwangju, Korea

• Mar. 2005 – Aug. 2006 : M.S. in Statistical Signal Processing Lab, School of Mechatronics, Gwangju Institute of Science and Technology (GIST), Gwangju, Korea

• Mar. 2000 – Feb. 2005 : B.S. in School of  Electrical Engineering, Ajou University, Suwon, Korea

Activities and Work Experience

• Jan. 2023 - Currently: Senior Lecturer (Associate Professor), RMIT University, Australia

• April 2022 – Dec. 2022: Lecturer (Assistant Professor), RMIT University, Australia

• June 2018 – Dec. 2022: Vice-Chancellor's Research Fellow, RMIT University, Australia

• June 2018 – Currently : Adjunct Research Fellow, Department of Electrical & Computer Engineering, Curtin University, Australia

• Sept. 2014 – May 2018: Research Associate, Department of Electrical & Computer Engineering, Curtin University, Australia

• Aug. 2016 – Currently : Adjunct Research Associate, School of Electrical, Electronic, and Computer Engineering, University of Western Australia, (UWA), Australia

• Sept. 2012 – Sept. 2014 : Adjunct Research Associate, Department of Electrical & Computer Engineering, Curtin University, Australia

• Sep. 2012 – Sept. 2014 : Research Associate, School of Electrical, Electronic, and Computer Engineering, University of Western Australia, (UWA), Australia

• Aug. 2011 – Sept. 2012 : Postdoctoral Researcher, Applied Computing Lab., Information & Com., GIST,Korea

• Mar. 2003 – Feb. 2005 : International student advisor, Office of International Affairs, Ajou University

Project Participation Experience

• Machine Reasoning with Imprecise Probabilistic Models for Underwater Surveillance, Defence Science and Technology Group, 299,000 AUD, 2021-2023.

• Game Theory Based Search Techniques for Evasive Underwater Targets, Defence Science and Technology Group, 147,000 AUD, 2021-2023.

• Flying Infrastructure for Intelligent Crowd Management and Security for Mega Events, National Priorities Research Program, Qatar National Research Fund,  142,000 AUD, 2020-2022.

• Track Before Detect for Maritime Radar, Defence Science and Technology Group, 633,000 AUD, 2019-2022.

• Track Before Detect Research (First phase), Defence Science and Technology Group, 118,000 AUD per annum, 2018-2019.

• Technology development of video gathering and analysis for moving and fixed cameras, Ministry of Science, ICT and Future Planning, Korea government, 80,000 AUD per annum, 2018.

• Multi-object Estimation for Live-Cell Microscopy, Australian Research Council Discovery Project 2016-2018.

• Development of Random Finite Set filter toolbox in MATLAB, 2015-2016. http://ba-tuong.vo-au.com/codes.html

• Development of Visual Multi-Target Tracking Algorithms using Random Finite Set Approach, Ministry of Science, ICT and Future Planning, Korean Government, 2015-2016.

• Distributed Random Finite Set Approach and Bayesian Nonparametrics, School of ECE, Cutin University, Australia, Sept. 2014-2015.

• Random Finite Set Approach for Robust Visual Tracking, School of EECE, UWA, Australia, Sept. 2012-Sept. 2014.

• Development of Practical Distributed Estimation Fusion Algorithms and Test-Bed for a Large-Scale Sensor Network, Team Leader, NRF, 2010-2012.

• A Study on the Multiple Moving Object Tracking and Prediction Algorithm using Short-range FMCW Radar mounted on Autonomous Ground Vehicle, Team Leader, Agency for Defense Development, 2009-2011.

• Distributed Nonlinear Filtering for Random Sensor Network, Researcher, GIST Dasan Project, 2009.

• Development of Robust Distributed Data Fusion Algorithm and Test-Bed in Sensor Network, Researcher, NRF, 2009-2010.

• Robust Multi-Sensor Fusion in Contaminated Gaussian Channel Noise, Researcher, GIST Dasan Project, 2007-2008.

• Development of Needle Tracking Algorithm for Infrastructure Insemination, Reasearcher, GIST Technology Initiative, 2005.

Invited Talks and Tutorials

• Introduction to Tracking and Sensor Fusion, 28-29 August, 31 August - 1 September,  2023, IEEE Aerospace and Electronics Systems Society, Brisbane, Adelaide, Australia

• Random Finite Set and Its Applications, 3rd Januray, 2023, KAIST, Korea.

• Track-Before-Detect for Maritime Radar, 27th December, 2022, Yonsei University, Korea.

• Track-Before-Detect for Maritime Radar, 24th October, 2022, University of Leeds, UK.

• Track-Before-Detect for Airborne Maritime Radar, 17th November, 2020, ADD, Korea.

• Object Tracking in Vision, 29th October, 2018, Hanyang University, Korea

• Stochastic Inference for Large-Scale Multi-Object Systems, 6th February, 2017, Queen's University Belfast, UK

• Stochastic Inference for Large-Scale Multi-Object Systems, 22nd September, 2016, University of Exeter, UK

Teaching Experience

• Senior Lecturer, Electronic Systems for Automotive Applications, RMIT University, 2023

• Lecturer, Computer and Network Security, RMIT University, 2022.

• Tutor, Engineering Computing 1, RMIT University, 2022.

• Lecturer, Audio Engineering, RMIT University, 2021.

• Lecturer, Signal Systems 2, RMIT University, 2021.

• Lecturer, Audio Engineering, RMIT University, 2019-2020.

• Lecturer,  ETEN2000 Signals and Systems, Curtin University, 2016-2017.

Publications

Ph.D. Dissertation

• • Study on the Fusion and Filtering of Stochastic Dynamic Systems with Unmodeled Uncertainty

M.S. Thesis

• • Design of New Filters for Linear Dynamic Systems with Uncertainties

International Journal

      Corresponding author is marked as *

1.  Du Yong Kim, Branko Ristic, Luke Rosenberg and Robin Guan, ''Efficient Track-Before-Detect for Maritime Radar via Correlation Filtering'', Submitted.

2. Wei Shao, Rongyi Zhu, Chandra Thapa, Muhammad Ejaz Ahmed, Seyit Camtepe, Rui Zhang, Du Yong Kim, Hamid Menouar, and Flora Salim, ''ST-DPGAN: A Privacy-preserving Framework for Spatiotemporal Data Generation,'' Submitted.

3. Linh Van Ma, Tran Theien Dat Nguyen, Changbeom Shim, Du Yong Kim, Namkoo Ha, and Moongu Jeon, ''Visual Multi-Object Tracking with Re-Identification and Occlussion Handling using Labeled Random Finite Sets,'' Accepted to Pattern Recognition, Elsevier.

4. Zhijin Chen, Branko Ristic and Du Yong Kim, ''A Possibilistic Formulation of Autonomous Search for Targets,'' Entropy.

5. Zhijin Chen, Branko Ristic and Du Yong Kim, ''Bernoulli Filter for Extended Target Tracking in the Framework of Possibility Theory,'' IEEE Transactions on Aerospace and Electronic Systems, vol. 59, no. 6, pp. 9733-9739, December 2023, DOI: http://doi.org/10.1109/TAES.2023.3263825 

6. Changbeom Shim, Wooil Kim, Tran Thien Dat Nguyen, Du Yong Kim, Yu Suk Choi, and Yon Dohn Chung, ''CellTrackVis: Interactive browser-based visualization for analyzing cell trajectories and lineages,'' BMC Bioinformatics, Early Access, DOI: https://doi.org/10.1186/s12859-023-05218-y 

7. Du Yong Kim, Luke Rosenberg, Branko Ristic, and Robin Guan, ''Tracking Maritime Targets using an Airborne Multi-channel Radar in the Maritime Domain,'' IEEE Transactions on Aerospace and Electronic Systems, vol. 59, no. 3, pp. 2221-2231, June 2023, DOI: https://doi.org/10.1109/TAES.2022.3211483.

8. Branko Ristic, Alex Skvortsov, Sanjeev Arulampalam, Haydar Demirhan, and Du Yong Kim, ''Solving the Datum Search as a Partially Observed Stochastic Game,'' IEEE Access, pp. 1-8, 2022, DOI: http://doi.org/10.1109/ACCESS.2022.3160192.

9. Branko Ristic, Robin Guan, Du Yong Kim, and Luke Rosenberg, ''Bernoulli Track-Before-Detect Smoothing for Maritime Radar'', IET Radar, Sonar & Navigation, pp. 1-8, 2022, DOI: http://doi.org/10.1049/rsn2.12233.

10. Tran Thien Dat Nguyen, Ba-Ngu Vo, Ba-Tuong Vo, Du Yong Kim, and Yu Suk Choi, "Tracking Cells and their Lineages via Labeled Random Finite Sets", IEEE Transactions on Signal Processing, vol. 69, pp. 5611-5626, 2021. DOI: 10.1109/TSP.2021.3111705.

11. Zhijin Chen, Branko Ristic, Jeremie Houssineau, Du Yong Kim, "Observer Control for Bearings-only Tracking Using Possibility Functions", Automatica, vol. 133, November 2021, DOI: https://doi.org/10.1016/j.automatica.2021.109888.

12. Branko Ristic, Du Yong Kim, Luke Rosenberg, and Robin Guan, "Exploiting Doppler in Bernoulli Track-Before-Detect for a Scanning Maritime Radar", IEEE Transactions on Aerospace and Electronic Systems, vol. 58, no. 1, pp. 720-728, July 2021, DOI: https://doi.org/10.1109/TAES.2021.3098117.

13. Ali Hamdi, Flora Salim, Du Yong Kim, Azadeh Ghari Neiat, and Athman Bouguettaya, "Drone-as-a-Service Composition Under Uncertainty,"IEEE Transactions on Services Computing, vol. 15, no. 5, pp. 2685-2698, Oct. 2022, DOI: https://doi.org/10.1109/TSC.2021.3066006.

14. Du Yong Kim, Branko Ristic, Robin Guan, and Luke Rosenberg, "A Bernoulli Track-Before-Detect Filter for Interacting Targets in Maritime Radar," IEEE Transactions on Aerospace and Electronic Systems, vol. 57, no. 3, pp. 1981-1991, June, 2021. DOI: https://doi.org/10.1109/TAES.2021.3054715.

15. Jonah Ong, Ba-Tuong Vo, Ba-Ngu Vo, Du Yong Kim, Sven Nordholm, "A Bayesian Filter for Multi-view 3D Multi-object Tracking with Occlusion Handling", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, no. 5, pp. 2246-2263, DOI: https://doi.org/10.1109/TPAMI.2020.3034435.

16. Young-Chul Yoon, Du Yong Kim, Kwangjin Yoon, Young-Min Song, and Moongu Jeon, "Online Multiple Pedestrian Tracking using Deep Temporal Appearance Matching Association," Information Sciences, Elsevier, vol. 561, June 2021, pp. 326-351. DOI: https://doi.org/10.1016/j.ins.2020.10.002.

17. Branko Ristic, Luke Rosenberg, Du Yong Kim, and Robin Guan, "Bernoulli Filter for Tracking Maritime Targets using Point Measurements with Amplitude ," Signal Processing, Elsevier, vol. 181, April, 2021. DOI: https://doi.org/10.1016/j.sigpro.2020.107919 

18. Branko Ristic , Luke Rosenberg , Du Yong Kim , Xuezhi Wang and Jason Williams, "Bernoulli Track-Before-Detect Filter for Maritime Radar," IET Radar, Sonar and Navigation, vol. 14, no. 3, pp. 356-363, 2020. DOI: 10.1049/iet-rsn.2019.0480.

19. Tran Thien Dat Nguyen, and Du Yong Kim, "GLMB Tracker with Partial Smoothing," Sensors, 19(20), 2019 DOI:  https://doi.org/10.3390/s19204419.

20. Jongmin Yu, Du Yong Kim, Yongsang Yoon, and Moongu Jeon, "Action Matching Network: Open-set Action Recognition using Spatio-Temporal Representation Matching", The Visual Computer, Springer, Sept. 2019. DOI: https://link.springer.com/article/10.1007/s00371-019-01751-1

21. Du Yong Kim, Ba-Ngu Vo, and Ba-Tuong Vo,  and Moongu Jeon, "A Labeled Random Finite Set Online Multi-Object Tracker for Video Data," Pattern Recognition, vol. 90, pp. 377-389, June 2019, DOI: https://doi.org/10.1016/j.patcog.2019.02.004

22. Kwangjin Yoon, Du Yong Kim, Young-chul Yoon, and Moongu Jeon, "Data Association for Multi-Object Tracking via Deep Neural Networks," Sensors, 19(3), 559, 2019: DOI: https://doi.org/10.3390/s19030559

23. Du Yong Kim, "Visual Multiple-Object Tracking for Unknown Clutter Rate," IET Computer Vision, vol. 12, no. 5, pp. 728-734, Aug. 2018: DOI: http://doi.org/10.0.4.25/iet-cvi.2017.0600

24. Yuthika Punchihewa, Ba-Tuong Vo, Ba-Ngu Vo and Du Yong Kim, "Multiple Object Tracking in Unknown Backgrounds with Labeled Random Finite Sets," IEEE Transactions on Signal Processing, vol. 66, no. 11, pp. 3040-3055, June 2018: DOI: http://doi.org/10.0.4.85/tsp.2018.2821650

25. W. Hadden, J. Young, A. Holle, Meg McFetridge, Du Yong Kim, P. Wijesinghe, H. T.-Weiner, J. Wen, A. Lee, K. Bieback, B.-N. Vo, D. Sampson, B. Kennedy, J. Spatz, A. Engler, and Yu Suk Choi, "Stem Cell Migration and Mechanotransduction on Linear Stiffness Gradients Hydrogels", PNAS, vol. 114, no. 22, pp. 5647-5652, May 2017: http://www.pnas.org/content/114/22/5647.short?rss=1

26. Francesco Papi and Du Yong Kim, "A Particle Multi-target Tracker for Superpositional Measurements using Labled Random Finite Sets", IEEE Transactions on Signal Processing, vol. 63, no. 16, pp. 4348-4358, Aug. 2015:  DOI: 10.1109/TSP.2015.2443727

27. Ma Liang, Du Yong Kim, and Xue Kai, "Multi-Bernoulli Filter for Target Tracking with Multi-static Doppler Measurements," Signal Processing, vol. 108, pp. 102-110, Mar. 2015: DOI: https://doi.org/10.1016/j.sigpro.2014.09.013

28. Du Yong Kim, and Moongu Jeon*, "Data Fusion of Radar and Image Measurements for Multi-Object Tracking via Kalman Filtering," Information Sciences, vol. 278, no. 9, pp. 641-652, 2014, DOI:http://dx.doi.org/10.1016/j.ins.2014.03.080

29. Ju Hong Yoon, Du Yong Kim, and Kuk-Jin Yoon*, "Gaussian Mixture Importance Sampling Function for Unscented SMC-PHD Filter," Signal Processing, vol. 93, no. 9, 2013, DOI: http://dx.doi.org/10.1016/j.sigpro.2013.03.004

30. Du Yong Kim, and Moongu Jeon*, "Square Root Receding Horizon Information Filters for Nonlinear Dynamic System Models," IEEE Transactions on Automatic Control, vol. 58, no. 5, pp.1284-1289, 2013, DOI: https://doi.org/10.1109/TAC.2012.2223352

31. Du Yong Kim, and Moongu Jeon*, "Spatio-Temporal Auxiliary Particle Filtering with L1-norm based Appearance Model Learning for Robust Visual Tracking," IEEE Transactions on Image Processing, vol. 22, no. 2, pp. 511-522, 2013, DOI: https://doi.org/10.1109/TIP.2012.2218824 

32. Du Yong Kim, and Moongu Jeon*, "Robust Distributed Kalman Filter for Wireless Sensor Networks with Uncertain Communication Channels," Mathematical Problems in Engineering, vol. 2012, Article ID 238597, 12 pages, 2012, DOI:10.1155/2012/238597

33. Ju Hong Yoon, Du Yong Kim, and Kuk-Jin Yoon*, "Efficient Importance Sampling Function Design for Sequential Monte Carlo PHD Filter," Signal Processing, vol. 92, no. 9, pp.2315-2321, 2012, DOI: http://dx.doi.org/10.1016/j.sigpro.2012.01.010

34. Il Yong Song, Du Yong Kim, Moongu Jeon, and Vladimir Shin*, "Receding Horizon Filtering for Discrete-Time Linear Systems with State and Observation Delays," IET Radar, Sonar and Navigation, vol. 6, no. 4, pp. 263-271, 2012, DOI: 10.1049/iet-rsn.2011.0094

35. Seung Hwan Bae, Du Yong Kim,  Ju Hong Yoon, Vladimir Shin, and Kuk-Jin Yoon*, "Automated Multi-target Tracking with Kinematic and Non-Kinematic Information", IET Radar, Sonar and Navigation, vol. 6, no. 4, pp. 272-281, 2012, DOI: 10.1049/iet-rsn.2011.0154

36. Ju Hong Yoon, Du Yong Kim, Seung Hwan Bae, and Vladimir Shin*, "Joint Initialization and Tracking of Multiple Moving Objects using Doppler Information", IEEE Transactions on Signal Processing, vol. 59, no. 7, pp.3447-3452, 2011,  DOI: 10.1109/TSP.2011.2132720

37. Du Yong Kim, Ju Hong Yoon, Moongu Jeon*, and Vladimir Shin*, "Distributed Information Fusion with Intermittent Observation for Large-Scale Sensor Networks", International Journal of Innovative Computing, Information and Control, vol. 7, no. 11, 2011.

38. Il Young Song, Du Yong Kim, Yong Hoon Kim, Suk Jae Lee, and Vladimir Shin*, "Distributed Fusion Receding Horizon Filtering in Linear Stochastic Systems", EURASIP Journal on Advances in Signal Processing, vol. 2009.

39. Du Yong Kim, Jun Il Ahn, and Vladimir Shin*, "Suboptimal Filter for Continuous-Time Linear Systems with Unknown Parameters", Asian Journal of Control, vol. 10, no. 5, pp. 525-534, 2008.

40. Vladimir Shin, and Du Yong Kim*, George Shevlyakov, Kiseon Kim, "A Low-Complexity Suboptimal Filter for Continuous-Discrete Linear Systems with Parametric Uncertainties", Signal Processing, vol. 87, no. 10, pp. 2392-2406, 2007, DOI: 10.1016/j.sigpro.2007.03.016

41. Vladimir Shin, Jun Il Ahn, and Du Yong Kim*, “New Algorithm for Recursive Estimation in Linear Discrete-Time Systems with Unknown Parameters”, International Journal of Control, Automation, and Systems, vol. 4, No. 4, pp. 456-465, 2006. 

International Conference

1. Junwen Deng, Andrew Filisetti, Hui Sheng Lim, Du Yong Kim and Akram Al-Hourani, ''Simulating sensor noise model for real-time testing in a virtual underwater environment'', IEEE Annual Congress on Artificial Intelligence of Things (IEEE AIoT 2024), Melbourne, Australia, 2024.

2. Zhijin Chen, Branko Ristic, and Du Yong Kim, ''Autonomous Area Search in the Framework of Possibility Theory','' IEEE International Conference on Information Fusion, Venice, Italy, 2024.

3. Branko Ristic, Du Yong Kim and Luke Rosenberg, ''Track-before-detect for Airborne Maritime Radar: Application to Real Data,'' IEEE Internation Conference on Information Fusion, Venice, Italy, 2024.

4. Du Yong Kim, Branko Ristic, and Luke Rosenberg, ''Parameter Tuning for Maritime Track-Before-Detect Parameter Tuning for Maritime Track-Before-Detect,'' IEEE International Radar Conference 2023, Sydney, Australia

5. Branko Ristic, Alex Skvortsov, Sanjeev Arulampalam, and Du Yong Kim, ''Sensor Management for Localisation of an Evasive Target: The Benefits of Game Theory,''Best Presentation Award, 2023 The 15th International Conference on Computer and Automation Engineering, (ICCAE 2023), Sydney, Australia

6. Zhijin Chen, Branko Ristic, and Du Yong Kim, ''Possibilistic Bernoulli Filter for Extended Target Tracking,'' 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes, Greece.

7. Du Yong Kim, Luke Rosenberg, Branko Ristic, and Robin Guan, ''Track-Before-Detect with Kullback-Leibler Divergence Sampling,'' 2023 IEEE Radar Conference, San Antonio, USA

8. Branko Ristic, Alex Skvortsov, Sanjeev Arulampalam, Du Yong Kim, ''A Study of Datum Search Patterns Using a Stochastic Game Framework,'' Best Paper Award, ICCAIS 2022.

9. Changbeom Shim, Ji Youn Lee, Diluka Moratuwage, Du Yong Kim, Yon Donh Chung, ''Generalized Label Grouping for Scalable Trajectory Estimation,'' ICCAIS 2022.

10. Du Yong Kim, Branko Ristic, Luke Rosenberg, and Robin Guan, ''Efficient Track-Before-Detect for Maritime Radar via Correlation Filtering,'' IET Radar 2022, Edinburgh, UK

11. Du Yong Kim, Luke Rosenberg, Branko Ristic and Robin Guan, ''Maritime Target Tracking from An Airborne Multi-channel Radar'', RadarConf'22.

12. Changbeom Shim and Du Yong Kim, "Space-oriented Label Partitioning for Multi-object Tracking'', Best Paper (First Runner-up), ICCAIS 2021.

13. Jonah Ong, Du Yong Kim and Thanh Do Cong, ''A Tractable Multi-target Detection Model for Line-of-Sight Measurements,'' ICCAIS 2021.

14. Du Yong Kim, Branko Ristic, Luke Rosenberg, Robin Guan and Robin Evans, "Exploiting Doppler in Bernoulli Track-Before-Detect", IEEE RadarConf 2021.

15. Jongmin Yu, Du Yong Kim, Younkwan Lee, Moongu Jeon, "Unsupervised Pixel-level Road Defect Detection via Adversarial Image-to-Frequency Transform," 2020 IEEE Intelligent Vehicles Symposium (IV).

16. Ali Hamdi, Flora Salim and Du Yong Kim, "DroTrack: High-speed Drone-based Object Tracking Under Uncertainty," FUZZ-IEEE 2020, A Finalist for the FUZZ-IEEE 2020 Best Student Paper Award

17. Branko Ristic, Du Yong Kim, Luke Rosenberg, and Robin Guan, "Bernoulli Multi-Target Track-Before-Detect for Martitime Radar," Radar 2020, April, 2020, Washington DC, USA.

18. Young-Chul Yoon, Du Yong Kim, Kwangjin Yoon, Young-Min Song, and Moongu Jeon, ''Online Multiple Pedestrian Tracking using Deep Temporal Appearance Matching Association," 3rd Prize, CVPR 2019 Multi-Object Challenge, June 15, 2019, Long Beach, CA, USA.

19. Jonah Ong, Ba-Tuong Vo, Ba-Ngu Vo, Du Yong Kim, and Sven Nordholm, "Multi-sensor Multi-target Tracking Using Labelled Random Finite Sets with Homography Data, ICCAIS 2019, Chengdu, China.

20. Du Yong Kim, Branko Ristic, Xuezhi Wang, Luke Rosenberg, Jason Williams, and Sam Davey, "A Comparative Study of Track-Before-Detect Algorithms in Radar Sea Clutter," Radar 2019, Toulon, France.

21. Branko Ristic, Luke Rosenberg, Du Yong Kim, Xuezhi Wang and Jason Williams, "Bernoulli Filter for Track-Before-Detect: Swerling-1 Target in K-distributed Clutter," Radar 2019, Toulon, France.

22. Jongmin Yu, and Du Yong Kim, "Parasitic Network: Learning-based Network Downsizing of Very Deep Networks for Computer Vision", ICCAIS 2018, Hangzhou, China.

23. Tran Thien Dat Nguyen and Du Yong Kim, "On-line Tracking of Cells and their Lineage from Time Lapse Video Data," ICCAIS 2018, Hangzhou, China.

24. Du Yong Kim, "Receding Horizon Estimation for Multi-Target Tracking via Random Finite Set Approach," FUSION 2018, Cambridge, UK.

25. Du Yong Kim, Ba-Tuong Vo, and Sven Nordholm, "Multiple Speaker Tracking with the GLMB Filter," ICCAIS 2017, Chiang Mai, Thailand.

26. Du Yong Kim, "Multi-target Track Before Detect with Labeled Random Finite Set and Adaptive Correlation Filtering," ICCAIS 2017, Chiang Mai, Thailand.

27. Du Yong Kim, Ba-Ngu Vo, and Yu Suk Choi, "A Generalized Labeled Multi-Bernoulli Tracker for Time Lapse Cell Migration," ICCAIS 2017, Chiang Mai, Thailand.

28. Du Yong Kim, Ba-Ngu Vo, and Ba-Tuong Vo, "Online Bayesian Multi-Object Tracking via Labeled Random Finite Set with Appearance Learning," ICCAIS 2017, Chiang Mai, Thailand.

29. Du Yong Kim, "Multi-Bernoulli Filtering for Keypoint-based Visual Tracking," ICCAIS 2016, Ansan, Korea.

30. Du Yong Kim, Ba-Ngu Vo, and Ba-Tuong Vo, "Multi-object Particle Filter Revisited," ICCAIS 2016, Ansan, Korea.

31. Du Yong Kim, Ma Liang, and Moongu Jeon, "Multi-Bernoulli Filter based Sensor Selection with Limited Sensing Range for Multi-target Tracking," ICCAIS 2015, Changshu, China.

32. Francesco Papi, and Du Yong Kim, "Bayesian Multi-tracking with Superpositional Measurements using Labeled Random Finite Sets," pp. 2211-2215, EUSIPCO 2015, Nice, France.

33. Du Yong Kim and Moongu Jeon, "Robust Multi-Bernoulli Filtering for Visual Tracking," ICCAIS 2014, Gwangju, Korea.

34. Ma Liang, Wang Ping, Xue Kai, and Du Yong Kim, "Robust GMPHD Filter with Adaptive Target Birth," ICCAIS 2014, Gwangju, Korea.

35. Du Yong Kim, Ba-Tuong Vo, and Ba-Ngu Vo, "Data Fusion in 3D Vision Using a RGB-D Data Via Switching Observation Model and Its Application to People Tracking," ICCAIS 2013, Nha Trang, Vietnam.

36. Ju Hong Yoon, Kuk-Jin Yoon, and Du Yong Kim, "Multi-Object Tracking using Hybrid Observation in PHD Filter," 20th International Conference on Image Processing, September 2013, Melbourne, Australia (ICIP 2013).

37. Ju Hong Yoon, Du Yong Kim, and Kuk-Jin Yoon, "Visual Tracking via Adaptive Tracker Selection with Multiple Features", 12th European Conference on Computer Vision, October 2012, Firenze, Italy, (ECCV 2012).

38. Du Yong Kim, Sang-Goog Lee, and Moongu Jeon, "Outlier Rejection Methods for Robust Kalman Filtering", Future Tech 2011, Athens, Greece, June 2011.

39. Du Yong Kim, Ehwa Yang, Moongu Jeon, and Vladimir Shin, "Robust Auxiliary Particle Filter with an Adaptive Appearance Model for Visual Tracking," 10th Asian Conference on Computer Vision, November 2010, Queenstown, New Zealand ( ACCV 2010).

40. Du Yong Kim, Ehwa Yang, Moongu Jeon, and Vlaidmir Shin, "Real-Time Level Set based Tracking with Appearance Model using Rao-Blackwellized Particle Filter", 17th International Conference on Image Processing, September 2010, Hong Kong (ICIP 2010).

41. Du Yong Kim, Ehwa Yang, Moongu Jeon, Vladimir Shin, "Receding Horizon Estimation for Hybrid Particle Filters and Application for Robust Visual Tracking", 20th International Conference on Pattern Recognition, August 2010, Istanbul,Turkey (ICPR 2010).

42. Du Yong Kim, Ju Hong Yoon, Yong Hoon Kim, and Vlaidmir Shin, "Distributed Information Fusion Filter with Intermittent Observation", 13th International Conference on Information Fusion, July 2010, Edinburgh, UK (FUSION 2010).

43. Du Yong Kim, Ehwa Yang, Moongu Jeon, and Vladimir Shin, "Adaptive Appearance Learning Method using Simulated Annealing", 2nd International Conference on Soft Computing, Intelligence System and Information Technology (ICSIIT 2010).

44. Du Yong Kim, Ju Hong Yoon, and Vladimir Shin, "Consensus Sigma-Point Information Filter for Large-Scale Sensor Network", 9th International Symposium on Distributed Computing and Applications to Business, Engineering and Science (DCBES 2010).

45. Il Young Song, Du Yong Kim, Seok Hyoung Lee, Vladimir Shin , “Distributed Fusion Receding Horizon Filtering”, Proc. of the ICROS-SICE International Joint Conference 2009, August 18(Tue.)-21(Fri.), 2009 in Fukuoka International Congress Center, Fukuoka, Japan, pp. 1234-1239.

46. Il-Young Song, Du Yong Kim, Hyo-Sung Ahn, Vladimir Shin,“Simultaneous pedestrian and multiple mobile robots localization using distributed extended Kalman filter”, Proc. of the IEEE ROBIO 08, Feb 21-26, Bangkok, Thailand, 2009, pp. 1065-1069.

47. Il Young Song, Du Yong Kim, Vladimir Shin, Georgy Shevlyakov, Kiseon Kim, “Distributed Receding Horizon Filtering for Linear Multisensor Continuous-Time Systems “, Proc. of the 10th IASTED Intern. Conf. “SIP 2008”, Kailua-Kona, Hawaii, USA, 623-023, August 18 – 20, 2008, pp. 238-242.

48. Tyagi Deepak, Du Yong Kim, and Vladimir Shin, "Suboptimal Filter for Multisensor Linear Continuous-Time Systems with Uncertainties", Proc. of the IEEE Congress on Signal Processing (CISP 2008), 27~30 May 2008, Sanya, China, vol. 5. pp. 536-541.

49. Du Yong Kim, Tyagi Deepak, Vladimir Shin, and Tae-sun Choi, "Distributed Kalman Filtering with Observation Uncertainties and its Application to State Estimation in Sensor Networks", Proc. of US-Korea Conf. on Science, Technology, and Entrepreneuship (UKC-2008), Aug. 14~17, 2008, San Diego, California, USA.

50. Ju Hong Yoon, Du Yong Kim, and Vladimir Shin, "Window Length Selection in Linear Receding Horizon Filtering", Proc. International Conf. on Control, Automation and Systems (ICCAS '08), 14~17 Oct. 2008, Seoul, Korea.

51. Seok Hyoung Lee, Du Yong Kim, Nga-Viet Nguyen, and Vladimir Shin, "Comparison of Multisensor Fusion Filters Weighted by Scalars and Matrices for Linear Systems", Proc. of International Conf. Control, Automation and Systems, (ICCAS '07), 17-20, Oct., Seoul, Korea.

52. Ha Ryong Song, Du Yong Kim, and Vladimr Shin, "Fusion Predictors for Multisensor Discrete-Time Linear Systems", Proc. of the 33rd Annual Conference of the IEEE Industrial Electronics Society (IEEE IECON '07), 5-8, Nov., Taipei, Taiwan.

53. Du Yong Kim, Vladimir Shin, George Shevlyakov, and Kiseon Kim, "A Design of Optimal Receding Horizon Filter for Linear Systems with Uncertainty", Proc. of the IEEE TENCON-2007, 30 Oct., - 2 Nov., Taipei, Taiwan.

54. Vladimir Shin, Du Yong Kim, George Shevlyakov, and Kiseon Kim, "Suboptimal Filter for Continuous-Discrete Linear Systems with Parametric Uncertainties", Proc. of the IEEE TENCON-2006, 14-17, Nov., Hong Kong.

55. Du Yong Kim, Vladimir Shin, "An Optimal Receding Horizon FIR Filter for Continuous-Time Linear Systems", Proc. of the International Conference SICE-ICCAS, 18-21, Oct., Busan, Korea.

Korean Conference

• Il Young Song, Du Yong Kim, Tae-Sun Choi, Vladimir Shin, “Distributed Receding Horizon Filtering in Linear Multi-sensor Continuous-time Systems”, Proceeding of the 7th KIIT IT based Convergence Service workshop & Summer Conference, Busan, May 29-31, Korea, 2009, pp. 120.

• Il Young Song, Ju Hong Yoon, Du Yong Kim, Yong Hoon Kim, Vladimir Shin, “Detection of Road Surface Conditions by 94Ghz Dual-Channel Radiometer”, Proceeding of the 8th KIIT IT based Convergence Service workshop & Summer Conference, Mokpo, June, Korea, 2009, pp. 60.

• Ju Hong Yoon, Du Yong Kim, and Vladimir Shin, "Distributed Filtering in Multisensor Linear Systems with Uncertainties", Proc. of KIISE Conf. Information and Communication, 28-29, Nov., 2008, Suncheon, Korea. (Best Paper Awarded).