Sungjun Hong

Int. J. Fuzzy Log. Intell. Syst., December, 2022

2021

Novel On-Road Vehicle Detection System Using Multi-Stage Convolutional Neural Network.

[BibT_eX]

[DOI]

Jisu Kim

IEEE Access, 2021

2017

Efficient Pedestrian Detection at Nighttime Using a Thermal Camera.

[BibT_eX]

[DOI]

Sensors, 2017

A New Automatic Gait Cycle Partitioning Method and Its Application to Human Identification.

[BibT_eX]

[DOI]

Int. J. Fuzzy Log. Intell. Syst., 2017

2016

Bayesian learning of a search region for pedestrian detection.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2016

Sensitivity Analysis of Width Representation for Gait Recognition.

[BibT_eX]

[DOI]

Int. J. Fuzzy Log. Intell. Syst., 2016

2013

Probabilistic gait modelling and recognition.

[BibT_eX]

[DOI]

IET Comput. Vis., 2013

2011

Probabilistic Background Subtraction in a Video-based Recognition System.

[BibT_eX]

[DOI]

KSII Trans. Internet Inf. Syst., 2011

2010

An efficient design of a nearest neighbor classifier for various-scale problems.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2010

Automatic gait recognition based on probabilistic approach.

[BibT_eX]

[DOI]

Int. J. Imaging Syst. Technol., 2010

2009

Neural network ensemble with probabilistic fusion and its application to gait recognition.

[BibT_eX]

[DOI]

Neurocomputing, 2009

A new genetic feature selection with neural network ensemble.

[BibT_eX]

[DOI]

Int. J. Comput. Math., 2009

A new probabilistic fuzzy model: Fuzzification-Maximization (FM) approach.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2009

An Efficient Gait Recognition with Backpack Removal.

[BibT_eX]

[DOI]

EURASIP J. Adv. Signal Process., 2009

2008

An efficient gait recognition based on a selective neural network ensemble.

[BibT_eX]

[DOI]

Int. J. Imaging Syst. Technol., 2008

2007

Robust Camera Calibration using TSK Fuzzy Modeling.

[BibT_eX]

[DOI]