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Pose estimation based on human detection and segmentation

Science in China(Series F) 2009年第2期52卷 244-251页

作者： CHEN Qiang ZHENG EnLiang LIU YunCai Institute of image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai 200240 China

We address the problem of 3D human pose estimation in a single real scene image. Normally, 3D pose estimation from real image needs background subtraction to extract the appropriate features. We do not make such assumption, In this paper, a two-step approach is proposed, first, instead of applying background subtraction to get the segmentation of human, we combine the segmentation with human detection using an ISM-based detector. Then, silhouette feature can be extracted and 3D pose estimation is solved as a regression problem. RVMs and ridge regression method are applied to solve this problem. The results show the robustness and accuracy of our method.

关键词： human detection and segmentation 3D pose estimation regression machine learning

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CONTOUR SEGMENT ANALYSIS FOR human SILHOUETTE PRE-segmentation

CONTOUR SEGMENT ANALYSIS FOR HUMAN SILHOUETTE PRE-SEGMENTATI...

引用

5th International Conference on Computer Vision Theory and Applications (VISAPP 2010)

作者： Migniot, Cyrille Bertolino, Pascal Chassery, Jean-Marc CNRS Gipsa Lab DIS 961 Rue Houille Blanche BP 46 F-38402 Grenoble France

ISBN: (纸本)9789896740290

human detection and segmentation is a challenging task owing to variations in human pose and clothing. The union of Histograms of Oriented Gradients based descriptors and of a Support Vector Machine classifier is a classic and efficient method for human detection in the images. Conversely, as often in detection, accurate segmentation of these persons is not performed. Many applications however need it. This paper tackles the problem of giving rise to information that will guide the final segmentation step. It presents a method which uses the union mention above to relate to each contour segment a likelihood degree of being part of a human silhouette. Thus, data previously computed in detection are used in the pre-segmentation. A human silhouette database was ceated for learning.

关键词： human detection and segmentation Silhouette Histograms of oriented gradients

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