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.
View-invariant, partially occluded human detection in still images using part bases and random forest
Vision based forest smoke detection using analyzing of temporal patterns of smoke and their probability models
A novel framework for white blood cell segmentation based on stepwise rules and morphological features