Vehicle license plate detection method based on sliding concentric windows and histogram. K Deb, HU Chae, KH Jo J. Comput. 4 (8), 771-777, 2009 | 133 | 2009 |
Fast smoke detection for video surveillance using CUDA A Filonenko, DC Hernández, KH Jo IEEE Transactions on Industrial Informatics 14 (2), 725-733, 2017 | 115 | 2017 |
Automatic detection and recognition of traffic signs using geometric structure analysis V Andrey, KH Jo 2006 SICE-ICASE International Joint Conference, 1451-1456, 2006 | 98 | 2006 |
Hybrid cascade boosting machine using variant scale blocks based HOG features for pedestrian detection VD Hoang, MH Le, KH Jo Neurocomputing 135, 357-366, 2014 | 81 | 2014 |
HSI color based vehicle license plate detection K Deb, KH Jo 2008 International Conference on Control, Automation and Systems, 687-691, 2008 | 78 | 2008 |
Manipulative hand gesture recognition using task knowledge for human computer interaction KH Jo, Y Kuno, Y Shirai Proceedings Third IEEE International Conference on Automatic Face and …, 1998 | 75 | 1998 |
Fast and accurate 3D object detection for lidar-camera-based autonomous vehicles using one shared voxel-based backbone LH Wen, KH Jo IEEE access 9, 22080-22089, 2021 | 73 | 2021 |
Comparative study of modern convolutional neural networks for smoke detection on image data A Filonenko, L Kurnianggoro, KH Jo 2017 10th international conference on human system interactions (HSI), 64-68, 2017 | 67 | 2017 |
Moving object localization using optical flow for pedestrian detection from a moving vehicle J Hariyono, VD Hoang, KH Jo The Scientific World Journal 2014 (1), 196415, 2014 | 67 | 2014 |
An efficient method of vehicle license plate recognition based on sliding concentric windows and artificial neural network K Deb, I Khan, A Saha, KH Jo Procedia Technology 4, 812-819, 2012 | 66 | 2012 |
Unattended object identification for intelligent surveillance systems using sequence of dual background difference A Filonenko, KH Jo IEEE Transactions on Industrial Informatics 12 (6), 2247-2255, 2016 | 60 | 2016 |
Evaluation of background subtraction algorithms for video surveillance A Shahbaz, J Hariyono, KH Jo 2015 21st Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV), 1-4, 2015 | 57 | 2015 |
Deep learning-based perception systems for autonomous driving: A comprehensive survey LH Wen, KH Jo Neurocomputing 489, 255-270, 2022 | 56 | 2022 |
Vehicle detection using tail light segmentation Q Ming, KH Jo Proceedings of 2011 6th International Forum on Strategic Technology 2, 729-732, 2011 | 54 | 2011 |
A survey of 2D shape representation: Methods, evaluations, and future research directions L Kurnianggoro, KH Jo Neurocomputing 300, 1-16, 2018 | 49 | 2018 |
Detection of pedestrian crossing road: A study on pedestrian pose recognition J Hariyono, KH Jo Neurocomputing 234, 144-153, 2017 | 48 | 2017 |
Classification of sports videos with combination of deep learning models and transfer learning MA Russo, L Kurnianggoro, KH Jo 2019 international conference on electrical, computer and communication …, 2019 | 45 | 2019 |
Intelligent Computing Theories and Application: 14th International Conference, ICIC 2018, Wuhan, China, August 15-18, 2018, Proceedings, Part II DS Huang, KH Jo, XL Zhang Springer, 2018 | 44* | 2018 |
Moving object detection for a moving camera based on global motion compensation and adaptive background model Y Yu, L Kurnianggoro, KH Jo International Journal of Control, Automation and Systems 17, 1866-1874, 2019 | 41 | 2019 |
Detection of pedestrian crossing road J Hariyono, KH Jo 2015 IEEE international conference on image processing (ICIP), 4585-4588, 2015 | 39 | 2015 |