This paper surveys the modeling methods for deformable human body and motion analysis in the recent 30 years. First, elementary knowledge of human expression and modeling is introduced. Then, typical human modeling technologies, including 2D model, 3D surface model, and geometry-based, physics-based, and anatomy-based approaches, and model-based motion analysis are summarized. Characteristics of these technologies are analyzed. The technology accumulation in the field is outlined for an overview.
In this paper, we present a novel online face recognition approach for video stream called online boosting OC (output code). Recently, boosting was successfully used in many study fields such as object detection and tracking. It is one kind of large margin classifiers for binary classification problems and also efficient for online learning. However, face recognition is a typical multi-class problem. Hence, it is difficult to use boosting in face recognition, especially in an online version. In our work, we combine online boosting and OC algorithm to solve real-time online multi-class classification problems. We perform online boosting OC on real-world experiments: face recognition in continuous video stream, and the results show that our algorithm is accurate and robust.
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