Lee, YB You, BJ Lee, SW 2024-01-19T16:09:04Z 2024-01-19T16:09:04Z 2022-03-07 2001 1050-4729 https://pubs.kist.re.kr/handle/201004/117923 Color-based object tracking takes great attentions since a color is an efficient and robust visual cue for characterizing one object from the other objects. Color segmentation is, however, suffered from color variations induced from irregular illumination variations and the viewing geometry, of a camera. This paper proposes a reliable color modeling approach including intensity information in HSI color space using B-spline curves based on the fact that color distribution of a single-colored object even in HS (Hue-Saturation) plane is not invariant with respect to brightness variations in practical cameras. By using the approach, our color-based visual tracker is able to adapt to irregular illumination variations and abrupt changes of brightness. The approach is applied for real-time face tracking under various illumination conditions successfully in a PC-based vision system. English IEEE A real-time color-based object tracking robust to irregular illumination variations Conference 1 IEEE International Conference on Robotics and Automation, pp.1659 - 1664 IEEE International Conference on Robotics and Automation 1659 1664 US SEOUL, SOUTH KOREA 2001-05-21 2001 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS I-IV, PROCEEDINGS 000172615800266 2-s2.0-0034874030 Proceedings Paper