Human Segmentation Based on Disparity Map and GrabCut

摘要：

　　Human segmentation plays an important role in vision analysis due to its importance for applications such as 3D pose estimation,human behavior analysis,body parameter estimation and image compositing.In this paper,we present a new human segmentation method that can segment human from the complex background environment without using background subtraction like algorithms and motion estimation algorithms.Initially,semi-global stereo matching algorithm was used to get the coarse disparity map.Then GrabCut was used on the disparity space image to get the humans coarse silhouette.After some erosion morphology operations,the silhouette obtained from the disparity space image was used as the input marks for the GrabCut,which was used on the color image to get accurate human segmentation.Results show that the proposed method can have a good performance.

关键词： disparity estimation GrabCut human segmentation

作者: Dongge Gu Yong Zhao Yule Yuan Gang Hu

作者单位: The key laboratory of Integrated Microsystems Shenzhen Graduate School, Peking University

会议类型: 国际会议

会议名称: 2012年遥感中的计算机视觉国际会议

会议地点: 厦门

会议语种:英文

页码: 1-5

在线出版日期: 2012-12-16（万方平台首次上网日期，不代表论文的发表时间）