Prof. Byoung Chul Ko Profile

Prof. Byoung Chul Ko

at Keimyung Univ

SPIE Involvement:

Author

Area of Expertise:

vision-based fire detection , Human action recognition , medical image processing

Websites:

Company Website

Byoung Chul Ko received his B.S. degree from Kyonggi University, Suwon, Korea, in 1998 and M.S. and Ph.D. degrees in Computer Science from Yonsei University, Seoul, Korea, in 2000 and 2004, respectively. From 2004 to 2005, he was a senior researcher at Samsung Electronics, Suwon, Korea, where he worked on the Ubiquitous Robot Companion (URC) project on the subject of robot event detection and face recognition using charge-coupled device (CCD) cameras. He is currently a professor in the Department of Computer Engineering, Keimyung University, Daegu, Korea. He received the several excellent paper awards from the Korean Institute of Information Scientists and Engineers (KIISE). Furthermore, he was selected as the best researcher and lecturer in 2013, 2014, and 2015 at Keimyung University. His current research interests include content-based image retrieval, vision-based fire detection, advance driver assistance systems, and biomedical image processing.

SPIE Journal Paper | 14 May 2015

View-invariant, partially occluded human detection in still images using part bases and random forest

Byoung Chul Ko, Jung Eun Son, Jae-Yeal Nam

OE, Vol. 54, Issue 05, 053113, (May 2015) https://doi.org/10.1117/12.10.1117/1.OE.54.5.053113

KEYWORDS: Detection and tracking algorithms, Image scaling, Sensors, Optical engineering, Image processing, Photovoltaics, Performance modeling, Feature extraction, Binary data, Image analysis

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SPIE Journal Paper | 18 November 2013 Open Access

Human tracking in thermal images using adaptive particle filters with online random forest learning

Byoung Chul Ko, Joon-Young Kwak, Jae-Yeal Nam

OE, Vol. 52, Issue 11, 113105, (November 2013) https://doi.org/10.1117/12.10.1117/1.OE.52.11.113105

KEYWORDS: Particle filters, Thermography, Particles, Video, Cameras, Laser induced damage, Optical tracking, Rutherfordium, Detection and tracking algorithms, Optical engineering

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SPIE Journal Paper | 4 February 2013 Open Access

Three-level cascade of random forests for rapid human detection

Byoung Chul Ko, Deok-Yeon Kim, Ji-Hoon Jung, Jae-Yeal Nam

OE, Vol. 52, Issue 2, 027204, (February 2013) https://doi.org/10.1117/12.10.1117/1.OE.52.2.027204

KEYWORDS: Rutherfordium, Volume rendering, Wavelets, Detection and tracking algorithms, Binary data, Feature extraction, Optical engineering, Visualization, Wavelet transforms, Image classification

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SPIE Journal Paper | 28 June 2012 Open Access

Survey of computer vision-based natural disaster warning systems

ByoungChul Ko, Sooyeong Kwak

OE, Vol. 51, Issue 7, 070901, (June 2012) https://doi.org/10.1117/12.10.1117/1.OE.51.7.070901

KEYWORDS: Natural disasters, Sensors, Landslide (networking), Computing systems, Machine vision, Computer vision technology, Video, Flame detectors, Cameras, Remote sensing

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SPIE Journal Paper | 6 February 2012

Wildfire smoke detection using temporospatial features and random forest classifiers

Byoung Chul Ko, Joon-Young Kwak, Jae-Yeal Nam

OE, Vol. 51, Issue 1, 017208, (February 2012) https://doi.org/10.1117/12.10.1117/1.OE.51.1.017208

KEYWORDS: Video, Clouds, Feature extraction, Rutherfordium, Wavelets, Detection and tracking algorithms, Fiber optic gyroscopes, Diffusion, Cameras, Infrared sensors

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Proceedings Article | 7 February 2011 Paper

Vision based forest smoke detection using analyzing of temporal patterns of smoke and their probability models

SunJae Ham, Byoung-Chul Ko, Jae-Yeal Nam

Proceedings Volume 7877, 78770A (2011) https://doi.org/10.1117/12.871995

KEYWORDS: Video, Wavelets, Flame detectors, Fuzzy logic, CCD cameras, Visual process modeling, Image processing, Cameras, Detection and tracking algorithms, Sensors

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Proceedings Article | 7 February 2011 Paper

A novel framework for white blood cell segmentation based on stepwise rules and morphological features

Ja-Won Gim, Junoh Park, Ji-Hyeon Lee, ByoungChul Ko, Jae-Yeal Nam

Proceedings Volume 7877, 78770H (2011) https://doi.org/10.1117/12.876435

KEYWORDS: Image segmentation, Blood, Image processing, RGB color model, Statistical analysis, Particles, Laser scattering, Image analysis, Image processing algorithms and systems, Sensors

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SPIE Journal Paper | 1 December 2010

Nonparametric membership functions and fuzzy logic for vision sensor-based flame detection

Byoung Chul Ko, Hyun-Jae Hwang, Jae-Yeal Nam

OE, Vol. 49, Issue 12, 127202, (December 2010) https://doi.org/10.1117/12.10.1117/1.3520069

KEYWORDS: Fuzzy logic, Flame detectors, Video, Wavelets, RGB color model, Optical engineering, Sensors, Detection and tracking algorithms, Combustion, Motion estimation

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Proceedings Article | 26 February 2008 Paper

Automatic cell segmentation and classification using morphological features and Bayesian networks

Mi-Ra Jung, Jeong-Hee Shim, ByoungChul Ko, Jae-Yeal Nam

Proceedings Volume 6813, 68130G (2008) https://doi.org/10.1117/12.766202

KEYWORDS: Image segmentation, Image processing algorithms and systems, Image classification, Image analysis, Algorithm development, Feature extraction, Databases, Microscopes, Image processing, Proteins

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Proceedings Article | 26 February 2008 Paper

Automatic fire detection system using CCD camera and Bayesian network

Kwang-Ho Cheong, Byoung-Chul Ko, Jae-Yeal Nam

Proceedings Volume 6813, 68130S (2008) https://doi.org/10.1117/12.764822

KEYWORDS: Flame detectors, RGB color model, Visual process modeling, Video, Wavelets, Combustion, CCD cameras, Cameras, Imaging systems, Surveillance

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Proceedings Article | 4 January 2002 Paper

Automatic text extraction in news images using morphology

InYoung Jang, ByoungChul Ko, HyeRan Byun, Yeongwoo Choi

Proceedings Volume 4671, (2002) https://doi.org/10.1117/12.453094

KEYWORDS: Image processing, Image enhancement, Visual communications, Video, Image contrast enhancement

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