Prof. Byoung Chul Ko
at Keimyung Univ
SPIE Involvement:
Author
Area of Expertise:
vision-based fire detection , Human action recognition , medical image processing
Websites:
Profile Summary

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.
Publications (11)

SPIE Journal Paper | 14 May 2015
OE Vol. 54 Issue 05
KEYWORDS: Detection and tracking algorithms, Image scaling, Sensors, Optical engineering, Image processing, Photovoltaics, Performance modeling, Feature extraction, Binary data, Image analysis

SPIE Journal Paper | 18 November 2013
OE Vol. 52 Issue 11
KEYWORDS: Particle filters, Thermography, Particles, Video, Cameras, Laser induced damage, Optical tracking, Rutherfordium, Detection and tracking algorithms, Optical engineering

SPIE Journal Paper | 4 February 2013
OE Vol. 52 Issue 2
KEYWORDS: Rutherfordium, Volume rendering, Wavelets, Detection and tracking algorithms, Binary data, Feature extraction, Optical engineering, Visualization, Wavelet transforms, Image classification

SPIE Journal Paper | 28 June 2012
OE Vol. 51 Issue 7
KEYWORDS: Natural disasters, Sensors, Landslide (networking), Computing systems, Machine vision, Computer vision technology, Video, Flame detectors, Cameras, Remote sensing

SPIE Journal Paper | 6 February 2012
OE Vol. 51 Issue 1
KEYWORDS: Video, Clouds, Feature extraction, Rutherfordium, Wavelets, Detection and tracking algorithms, Fiber optic gyroscopes, Diffusion, Cameras, Infrared sensors

Showing 5 of 11 publications
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