点击次数：

论文类型：期刊论文

发表时间：2012-07-01

发表刊物：Journal of Information and Computational Science

收录刊物：EI、Scopus

卷号：9

期号：7

页面范围：1749-1759

ISSN号：15487741

摘要：This paper develops a novel visual tracking method using Incremental Lorentzian Discriminant Projection (ILDP). A subspace based tracking method is promising, especially in handling appearance, illumination and expression variation. Inspired by the promising discriminant characteristic of Lorentzian Discriminant Projection (LDP), we apply a variant of it to visual tracking problem and incrementally update the projected space. Our method is able to track the target with large variation, such as large appearance, illumination, expression, pose and scale variation indoor and outdoor. Various experiments are conducted to demonstrate the high performance of our method. 1548-7741/Copyright ? 2012 Binary Information Press.