Efficient pedestrian detection at nighttime using a thermal camera J Baek, S Hong, J Kim, E Kim Sensors 17 (8), 1850, 2017 | 78 | 2017 |
Probabilistic ship detection and classification using deep learning K Kim, S Hong, B Choi, E Kim Applied Sciences 8 (6), 936, 2018 | 70 | 2018 |
Neural network ensemble with probabilistic fusion and its application to gait recognition H Lee, S Hong, E Kim Neurocomputing 72 (7-9), 1557-1564, 2009 | 52 | 2009 |
A new gait representation for human identification: mass vector S Hong, H Lee, IF Nizami, E Kim 2007 2nd IEEE Conference on Industrial Electronics and Applications, 669-673, 2007 | 52 | 2007 |
A noise robust gait representation: motion energy image H Lee, S Hong, IF Nizami, E Kim International Journal of Control, Automation and Systems 7 (4), 638-643, 2009 | 37 | 2009 |
Autonomous vehicle detection system using visible and infrared camera J Kim, S Hong, J Baek, E Kim, H Lee 2012 12th International Conference on Control, Automation and Systems, 630-634, 2012 | 34 | 2012 |
Gait recognition using multi-bipolarized contour vector S Hong, H Lee, KA Toh, E Kim International Journal of Control, Automation, and Systems 7 (5), 799, 2009 | 31 | 2009 |
Gait recognition system using decision-level fusion B Lee, S Hong, H Lee, E Kim 2010 5th IEEE Conference on Industrial Electronics and Applications, 313-316, 2010 | 25 | 2010 |
An efficient gait recognition with backpack removal H Lee, S Hong, E Kim EURASIP Journal on Advances in Signal Processing 2009, 1-7, 2009 | 25 | 2009 |
An efficient gait recognition based on a selective neural network ensemble H Lee, S Hong, E Kim International Journal of Imaging Systems and Technology 18 (4), 237-241, 2008 | 22 | 2008 |
A new genetic feature selection with neural network ensemble H Lee, S Hong, E Kim International Journal of Computer Mathematics 86 (7), 1105-1117, 2009 | 21 | 2009 |
Multi-view gait recognition fusion methodology IF Nizami, S Hong, H Lee, S Ahn, KA Toh, E Kim 2008 3rd IEEE Conference on Industrial Electronics and Applications, 2101-2105, 2008 | 18 | 2008 |
Probabilistic gait modelling and recognition S Hong, H Lee, E Kim IET Computer Vision 7 (1), 56-70, 2013 | 14 | 2013 |
Automatic gait recognition based on probabilistic approach IF Nizami, S Hong, H Lee, B Lee, E Kim International Journal of Imaging Systems and Technology 20 (4), 400-408, 2010 | 12 | 2010 |
Novel on-road vehicle detection system using multi-stage convolutional neural network J Kim, S Hong, E Kim IEEE Access 9, 94371-94385, 2021 | 11 | 2021 |
Fusion of multiple gait cycles for human identification S Hong, H Lee, E Kim 2009 ICCAS-SICE, 3171-3175, 2009 | 11 | 2009 |
Automatic gait recognition using width vector mean S Hong, H Lee, E Kim 2009 4th IEEE Conference on Industrial Electronics and Applications, 647-650, 2009 | 10 | 2009 |
Human identification based on gait analysis S Hong, H Lee, IF Nizami, SJ An, E Kim 2007 International Conference on Control, Automation and Systems, 2234-2237, 2007 | 10 | 2007 |
Gait recognition using sampled point vectors S Hong, H Lee, K Oh, M Park, E Kim 2006 SICE-ICASE International Joint Conference, 3937-3940, 2006 | 9 | 2006 |
Human biometric identification through integration of footprint and gait H Lee, B Lee, JW Jung, S Hong, E Kim International Journal of Control, Automation and Systems 11 (4), 826-833, 2013 | 8 | 2013 |