基于OpenCV的摄像头动态手势轨迹识别及其应用
基于OpenCV的摄像头动态手势轨迹识别及其应用,前沿的研究,最新论文2012B_0% random t XoX,XX4_1、42、B0Bhattacharyyaglsl. 8 gsl_ran_gaussianpp q1/3t=∑∵n8HSVcerterHSVIISV V44 HMM3IIMMA=SO4 B450AiI i j-+∑bk2HMM4+1=A_1*X1-X0+A_2*Xo1994-2013ChinaAcademicJournalElectronicPublishingHouse.Allrightsreservedhttp://www.cnki.netOpencvlIMMP., v3)A BP(IAIIMM(a)两点之间的方向夹角(b)轨迹的方间夹角分为8等份HMMBaum-WelchyO aB,i/∑a,iBtHMMAHMM∑s: t Hq,=======-s,qui a 6. o, B, 1 j/PolAa)向右的于势(b)向左的手势(c)向上的手势(d向下的手势动,O:B1j1+1J∑,ijtimermero∑点:1j/∑b kFirmerlimmer=3∑y,1/∑yIMM丌AB512Baum-welch4.3HMⅥHMMHMⅥHMM8(a)第5(b)第6帧第6幀第6帧o1994-2013ChinaAcademicJournalElectronicPublishingHouse.Allrightsreservedhttp://www.cnki.net1322012(a第1(b)第72(a)第5帧(b)第60帧(c}第62帧(d)第G3帧(c)第75d)第呲5.4 HMMHMMHMMHMIHMM丌ABHMMa)第4帧.0()第50d)第54帧HMMHMM0.2928060.56l9010.2943160.5606530.1167910.1900640.0428680.1903360.041360.3217210.3235800.0173120.1166050.0155030.0708480.069680.1601290.0412690.1600400.039740.0749660.0738510.1859570.1468650.1466160.2136800.1587320.0954920.1586260.094620.2069880.207462HMM30.00l20.00100.0010.00I0.00l0.000.0050.00l.O001.000360.0010.00120.00I0.0010.00l0.001IIMMHMMIIMM320×240HMMo1994-2013ChinaAcademicJournalElectronicPublishingHouse.Allrightsreservedhttp://www.cnki.netOpencv133jck hand recogni tion2005,2611):29Openly获取直方图轨迹图像2010,30(71:59-61.在单击“轨迹「未选择-图像显示[5 QIN WEN, PENG QICONG. An improved particle filter algorithm图像时选择Chmm控制based on neural network for visual tracking[c / International Con个按钮选C控制贪食鱼ference on Communications, Circuits and SyLas v.项训练HMMIEEE.2007:765-768LD」停止退出2009[7 YU JINXIA, LIU WENJING, YANG Y. Impmved particle filter algorithms based on partial systematic resampling C|//IEEE InTernational Conference on Intelligent Computing and Intelligent SystemsLas vegas: IEEE, 2010: 483-4878 FAZLI S, POUR II M, BOUZARI ll. Particle filter based objecttracking with sift and color feature[C // Second International Conas Vegas: IEEE, 2009: 89-9(8:62-64.L10」LD」HMM,2004[ II YUAN LICHI. An improved HMM speech recognition model[c//International Conference on AudiO. las Vegas: IEEE, 2008: 1311LlOpenCVLD」1315.[12 TAN WENJUN, WU CHENGDONG, ZHAO SHUYING. Recogni[2 CHlO JU, JIN S ll, PILAM X D. Object tracking circuit using partition of dynamic hand gesture based on SCllMM model[C]//Chi-cle filter with multiple features [C//SICE-ICASE: Internationalnese Control and Decision Conference. Log Vegas: IEEE. 2009Joint Conference. Las Vegas: IEEE, 2006: 1431-14362430-24341272011,28(2):242-244.C,2010,1(1):92-95SIFT[8 BEIS J S, LOWE D G. Shape indexing using approximate nearest-neighbour search in high-dimensional spaces [C]// Proceedings ofthe IEEE 1997 Computer Society Conference on Computer visionand Pattern Recognition. Washington, DC: IEEE Computer Socie-ly,997:1000-1006SIFT009,29(5):423-2262009,30(4):857-861[O][2] LOWE D G. Distinctive image features from scale-invariant key-points[ J]. International of Computer Vision, 2004, 60(2):91[11 SHUM H Y, SZELISKI R. Construction of panoramic image mosaicswith global and local alignment[ J International Journal of Comp3 MIKOLAJCZYK K, SClIMID C. A performance evaluation of localer visian,2000,36(2):101-130descriptors[ J|. IEEE Transactions on Pattern Analysis and Machine[12 ZOGIILAMI 1. FAUGERLAS O, DERICIIE R. Using geometric corIntelligence,2005,27(10):1615-1630ners to build a 2D mosaic from a set of images[C]// Proceedings of4 LINDEBERG T. Seale -space theory a basic foul for analyzingthe International Conference on Computer Vision and Pattern Recog-structures at different seales LJ. Journal of Applied StatisticitiL. Washington, DC: IEEE Computer Society, 1997: 1671994,21(2):224-270o1994-2013ChinaAcademicJournalElectronicPublishingHouse.Allrightsreservedhttp://www.cnki.net
- 2020-12-01下载
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Lumped Elements for RF and Microwave Circuits (Bahl 2003)
Lumped Elements for RF and Microwave Circuits英文版,射频微波电路入门Lumped Elements for RFand microwave circuitsFor a listing of recent titles in the Artech House Microwave library,turn to the back of this bookLumped Elements for RFand microwave circuitsInder bahlArtech houseBoston londonwww.artechhouse.comLibrary of Congress Cataloging-in-Publication DataBahl, I.J.Lumped elements for RF and microwave circuits /Inder Bahlp cm.--(Artech House microwave libraryncludes bibliographical references and indexISBN 1-58053-309-4(alk. paper1. Lumped elements(Electronics) 2. Microwave integrated circuits. 3. Radiofrequency integrated circuits. 4. Passive components. I. Title. II. SeriesTK7874.54B342003621.38132-dc212003048102British Library Cataloguing in Publication DataBahl, I. J. Inder jit)Lumped elements for RF and microwave circuits.-(Artech House microwave library1. Radio circuits 2. Microwave circuits I. Title621.38412ISBN1-58053-3094Cover design by Igor Valdmar2003 ARTECH HOUSE, INC.685 Canton StreetNorwood Ma 02062All rights reserved Printed and bound in the United States of America. no part of this bookmay be reproduced or utilized in any form or by any means, electronic or mechanical, includingphotocopying, recording, or by any information storage and retrieval system, without permissionn writing from the publisherall terms mentioned in this book that are known to be trademarks or service marks have beenappropriately capitalized. Artech House cannot attest to the accuracy of this information. Useof a term in this book should not be regarded as affecting the validity of any trademark or servicemarkInternational Standard Book Number: 1-58053-309-4Library of Congress Catalog Card Number: 200304810210987654321To my adorable grandsons, Karan and Rohan Kaushal, with whom I play, cry,and laugh, and who have provided me with the idea and inspiration towrite this bookContentsPrefaceXVAcknowledgmentsXXIntroduction1.1 History of Lumped Elcements)Why Use Lumped Elements for rF andMicrowave circuits1.3 L, C, R Circuit Elements1.4 Basic Design of Lumped Elements4.1 Capacitor1.4.2 Inductor4.3 Resistorumped-Element Modelin1. 6 Fabrication1.7 ApplicationsReferencesInductors2.1 IntroductionLumped Elements for RF and Microwave Circuits2.2 Basic Definitions2.2.1 Inductance2.2.2 Magnetic Energy182.2.3 Mutual Inductance202. 2. 4 Effective Inductance202.2.5Imedang2.2.6 Time Constant2.2.7 Quality Factor222.2.8 Self-Resonant Frequency232.2.9aximum Current Ratin2.2.10 Maximum Power Rating2.2.11 Other Parameters232.3 Inductor Configurations242.4 Inductor models2. 4. 1 Analytical Models252.4.2 Coupled-Line Appiroach282.4.3 Mutual Induse arppi342.4.4 Numerical Approach362.4.5 Measurement-Based model382.5 Coupling Between Inductors452.5. 1 Low-Resistivity Substrates2.5.2 High-Resistivity Substrates462.6 Electrical Representations2.6. 1 Series and Parallel representations2.6.2 Network Representations51References52Printed Inductors573.1 Inductors on Si Substrate583.1.1 Conductor Loss3.1.2 Substrate Loss3. 1.3 Layout Considerations3.1.4 Inductor Model3. 1.5 Q-Enhancement Techniques3.1.6 Stacked-Coil Inductor803.1.7 Temperature Dependence84
- 2021-05-07下载
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