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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 |
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3樓2013-10-31 08:14:07
【答案】應助回帖
★ ★ ★ ★ ★
水中青蛙: 金幣+5, ★★★★★最佳答案, 非常感謝！ 2013-10-31 09:04:38
水中青蛙: 金幣+5, ★★★★★最佳答案, 非常感謝！ 2013-10-31 09:04:38
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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樓2013-10-31 08:13:00
4樓2013-10-31 09:34:55
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