| 摘要 |
In a human feature recognition system that is intended to provide substantially real-time recognition of body segments, various methods and structures are provided to facilitate real-time recognition with reduced computation requirements, including a face detection module employing an active boosting procedure and a lazy boosting procedure on a hybrid cascade structure, a human body segmentation module and a boundary matting module. The hybrid cascade structure is in the form of a tree where one type of node represents a strong classifier learned from active boosting, another type of classifier is obtained by low-computation-load lazy boosting, and weak classifiers are obtained from the previous layers.
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