| 查看: 1192 | 回复: 3 | |||
[求助]
请大家帮助查找两篇论文的检索情况~
|
|
第一篇： 篇名：Study on a rapid real-time feature extraction algorithm 期刊：AMR V.709 第二篇： 篇名：Improved BP neural network in diagnosis of nonlinear fault 期刊：AMM V.401-403 |
回复此楼» 猜你喜欢
材料与化工304求B区调剂
已经有7人回复
-
0703化学336分求调剂
已经有4人回复
-
[复试调剂]西南科技大学国防/材料导师推荐
已经有6人回复
-
化学工程321分求调剂
已经有12人回复
-
211本，11408一志愿中科院277分，曾在中科院自动化所实习
已经有4人回复
-
材料专硕326求调剂
已经有5人回复
-
东南大学364求调剂
已经有5人回复
-
国自科面上基金字体
已经有7人回复
-
药学383 求调剂
已经有4人回复
-
286求调剂
已经有5人回复
» 本主题相关价值贴推荐，对您同样有帮助:
- 帮忙查一下这篇论文的检索情况
已经有3人回复
- 两篇文章相差一个月投了同一个SCI杂志，后面投的SCI收录了，前一篇没收录
已经有5人回复
- 请帮忙查一下FISITA 2012 年会论文是否被ISTP检索！
已经有3人回复
- SCI文章9月份就on line了，怎么现在还查不到收录号？
已经有11人回复
- 求助，帮忙查几篇会议论文的收录情况，谢谢
已经有10人回复
- 请问如何查询这个会议收录论文是否被sci检索
已经有4人回复
- 哪位帮忙查一下这篇文章的SCI和EI收录情况
已经有8人回复
- 关于如何查询一个期刊是否被SCI或其他机构收录
已经有62人回复
- 哪位大侠帮忙查一下，这两篇文章，是否已经被SCI收录，评职称急用
已经有9人回复
- 请哪位大侠帮忙查一篇文章是否被ISTP检索
已经有5人回复
- 帮忙查下文章是否被ISTP收录？非常感谢
已经有7人回复
【答案】应助回帖
★ ★ ★ ★ ★
水中青蛙: 金币+5, ★★★★★最佳答案, 非常感谢！ 2013-10-31 09:04:38
水中青蛙: 金币+5, ★★★★★最佳答案, 非常感谢！ 2013-10-31 09:04:38
|
Accession number: 20132916521223 Title: Study on a rapid real-time feature extraction algorithm Authors: Xu, Bin1 Email author bin200602006@163.com; Li, Xiangna2 Email author 123595010@qq.com; Xue, Weining2 Email author 47607601@qq.com Author affiliation: 1 Department of Mechanical-Electrical Engineering, North China Institute of Science and Technology, Beijing, 101601, China 2 Department of Electronic and Information Engineering, North China Institute of Science and Technology, Beijing, 101601, China Source title: Advanced Materials Research Abbreviated source title: Adv. Mater. Res. Volume: 709 Monograph title: Advances in Applied Science, Engineering and Technology Issue date: 2013 Publication year: 2013 Pages: 575-578 Language: English ISSN: 10226680 ISBN-13: 9783037857182 Document type: Conference article (CA) Conference name: 2013 International Conference on Applied Science, Engineering and Technology, ICASET 2013 Conference date: May 19, 2013 - May 21, 2013 Conference location: Qingdao, China Conference code: 97848 Publisher: Trans Tech Publications Ltd, Kreuzstrasse 10, Zurich-Durnten, CH-8635, Switzerland Abstract: A fast feature extraction algorithm is presented in this paper based on the color and point feature, With the aim of required feature points, the location of the object includes object region detection and feature point location. The area of object detection is used to look for the centre of gravity point from the scaling image. The feature point location is based on the object region detection, cuts a picture from the image, and extracts speeded up robust feature (SURF) points of the target within the cut picture. The target position is calculated according to the value of the feature points, it provides a basis for object tracking. The experimental results verify the effectiveness of the proposed method. © (2013) Trans Tech Publications, Switzerland. Number of references: 5 Main heading: Algorithms Controlled terms: Tracking (position) Uncontrolled terms: Centre of gravity - Color features - Feature extracting - Feature extraction algorithms - Monocular vision - Object Tracking - Real-time features - Speeded up robust features Classification code: 716.2 Radar Systems and Equipment - 723 Computer Software, Data Handling and Applications - 921 Mathematics DOI: 10.4028/www.scientific.net/AMR.709.575 Database: Compendex Compilation and indexing terms, © 2013 Elsevier Inc. |
2楼2013-10-31 08:13:00
3楼2013-10-31 08:14:07
4楼2013-10-31 09:34:55
20