Cheolmin Choi

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Visual gesture recognition is one of the main areas of research in human-computer and human-robot interfaces. In this paper we present a novel visual gesture recognition method for aircraft marshalling signals. To capture hand motion information, we used a color-based tracking algorithm with an adaptive window for each frame. A feature selection algorithm(More)
In this study, we propose a new integrated computer vision system designed to track multiple human beings and extract their silhouette with a pan-tilt stereo camera, so that it can assist in gesture and gait recognition in the field of Human–Robot Interaction (HRI). The proposed system consists of three modules: detection, tracking and silhouette(More)
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