کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
407889 | 678237 | 2013 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
LF-EME: Local features with elastic manifold embedding for human action recognition
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: LF-EME: Local features with elastic manifold embedding for human action recognition LF-EME: Local features with elastic manifold embedding for human action recognition](/preview/png/407889.png)
چکیده انگلیسی
Human action recognition has been an active topic in computer vision. Currently, most of the approaches to this problem can be categorized into two classes. One is based on local features, and the other is based on global features. Meanwhile, manifold learning has become successful in many problems in computer vision, but because of the high variability of human body, the application of manifold learning to human action recognition is limited. We propose a framework based on Elastic Manifold Embedding (EME), a new sparse manifold learning algorithm, together with local interest point features to handle human action recognition. The result of the new framework is very promising in comparison with state-of-the-art methods.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 99, 1 January 2013, Pages 144–153
Journal: Neurocomputing - Volume 99, 1 January 2013, Pages 144–153
نویسندگان
Xiaoyu Deng, Xiao Liu, Mingli Song, Jun Cheng, Jiajun Bu, Chun Chen,