Contextual Saliency with an Application to Visual Tracking

摘要：

Matching local salient points is limited in some computer vision problems, since local features vary dramatically under large view changes. In a selective attention tracking paradigm, this paper proposes a new definition on salient points which includes context information around the given point The proposed contextual salient points are extracted based on the geometry structure of the manifold embedded in the image feature space. Extensive experiments show that such contextual saliency leads to superior performances in many challenging target tracking tasks.

关键词： interest point detection visual saliency visual tracking

作者: Jialue Fan

作者单位: EECS Department, Northwestern University, Evanston, IL, USA, 60208

会议类型: 国际会议

会议名称: 2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)

会议地点: 上海

会议语种:英文

页码: 1437-1440

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）