کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4635457 | 1340711 | 2007 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A sequential subspace learning method and its application to dynamic texture analysis
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
ریاضیات
ریاضیات کاربردی
پیش نمایش صفحه اول مقاله

چکیده انگلیسی
Incremental update of subspace has new and interesting research applications in vision such as active recognition, object tracking and dynamic texture analysis. In this paper, a sequential subspace learning method is proposed for dynamic texture analysis. The learning algorithm can update adaptively dynamic texture subspace based on sequential observation data, and has higher computation efficiency and numerical stableness. Also our learning method considers the change of the texture sample mean when each new observation datum arrives, whereas existing subspace learning methods ignore the fact that the sample mean varies over time. Experimental results show the learning method for dynamic texture subspace is efficient and effective.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Mathematics and Computation - Volume 185, Issue 2, 15 February 2007, Pages 834-843
Journal: Applied Mathematics and Computation - Volume 185, Issue 2, 15 February 2007, Pages 834-843
نویسندگان
Zejian Yuan, Yanyun Qu, Chao Yang, Yuehu Liu,