000771491 000__ 04844cam\a2200517Ii\4500 000771491 001__ 771491 000771491 005__ 20230306142610.0 000771491 006__ m\\\\\o\\d\\\\\\\\ 000771491 007__ cr\un\nnnunnun 000771491 008__ 141105t20142015sz\a\\\\ob\\\\000\0\eng\d 000771491 019__ $$a908089812 000771491 020__ $$a9783319114309$$q(electronic book) 000771491 020__ $$a3319114301$$q(electronic book) 000771491 020__ $$z9783319114293 000771491 035__ $$aSP(OCoLC)ocn894509366 000771491 035__ $$aSP(OCoLC)894509366$$z(OCoLC)908089812 000771491 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dGW5XE$$dYDXCP$$dN$T$$dOCLCF$$dIDEBK$$dEBLCP$$dOCLCQ$$dDEBBG$$dIAO$$dIAS$$dIAD$$dJBG 000771491 049__ $$aISEA 000771491 050_4 $$aTA1634 000771491 08204 $$a006.3/7$$223 000771491 24500 $$aComputer vision in control systems.$$n2,$$pInnovations in practice /$$cMargarita N. Favorskaya, Lakhmi C. Jain, editors. 000771491 24630 $$aInnovations in practice 000771491 264_1 $$aCham :$$bSpringer,$$c[2014] 000771491 264_4 $$c©2015 000771491 300__ $$a1 online resource (xvi, 295 pages) :$$billustrations. 000771491 336__ $$atext$$btxt$$2rdacontent 000771491 337__ $$acomputer$$bc$$2rdamedia 000771491 338__ $$aonline resource$$bcr$$2rdacarrier 000771491 4901_ $$aIntelligent Systems Reference Library,$$x1868-4394 ;$$vvolume 75 000771491 504__ $$aIncludes bibliographical references. 000771491 5050_ $$aForeword; Preface; Contents; About the Editors; 1 Practical Matters in Computer Vision; Abstract; 1.1 Introduction; 1.2 Chapters Included in the Book; 1.3 Conclusion; References; 2 Human Action Recognition: Contour-Based and Silhouette-Based Approaches; Abstract; 2.1 Introduction; 2.2 Human Action Recognition in Videos; 2.2.1 Human Object Tracking; 2.2.2 Feature Extraction; 2.2.3 Action Classification; 2.2.4 Human Action Recognition in Weizmann Dataset: Literature Review; 2.3 Human Object Tracking in Weizmann Dataset; 2.3.1 Weizmann Human Action Dataset; 2.3.2 Background Subtraction Process. 000771491 5058_ $$a2.3.3 Direction Detection Process2.3.4 Horizontal Alignment Process; 2.3.5 Computing Aligned Silhouettes Image Process; 2.3.6 Unifying Direction Process; 2.3.7 Cropping Bounding Box Process; 2.4 Contour-Based Feature Extraction; 2.4.1 Cartesian Coordinate Feature; 2.4.2 Fourier Descriptor Feature; 2.4.3 Centroid-Distance Features; 2.4.4 Chord-Length Features; 2.5 Silhouette-Based Feature Extraction; 2.5.1 Histogram of Oriented Gradient Feature; 2.5.2 Histogram of Oriented Optical Flow Feature; 2.5.3 Structural Similarity Index Measure Feature; 2.6 Action Classification. 000771491 5058_ $$a2.6.1 K-Nearest Neighbor Classifier2.6.2 Support Vector Machine Classifier; 2.7 Human Action Recognition in Videos Algorithm; 2.7.1 Training Mode; 2.7.2 Testing Mode; 2.8 Experimental Results; 2.8.1 Cartesian Coordinate Feature Experiment; 2.8.2 Fourier Descriptor Feature Experiments; 2.8.3 Centroid-Distance Feature Experiments; 2.8.4 Chord-Length Feature Experiments; 2.8.5 Histogram of Oriented Gradient Feature Experiments; 2.8.6 Histogram of Oriented Optical Flow Feature Experiments; 2.8.7 Structure Similarity Index Measure Feature Experiments; 2.8.8 Experimental Results Discussion. 000771491 5058_ $$a2.9 ConclusionReferences; 3 The Application of Machine Learning Techniques to Real Time Audience Analysis System; Abstract; 3.1 Introduction; 3.2 Face Detection; 3.3 Face Tracking; 3.4 Gender Recognition; 3.5 Age Estimation; 3.6 Conclusion; References; 4 Panorama Construction from Multi-view Cameras in Outdoor Scenes; Abstract; 4.1 Introduction; 4.2 Problem Statement; 4.3 Related Work; 4.4 Intelligent Selection and Overlapping of Representative Frames; 4.4.1 Selection of Representative Frames; 4.4.2 Overlapping Analysis of Selected Frames; 4.5 Stitching of Selected Frames. 000771491 5058_ $$a4.5.1 Feature Points Detection4.5.2 Feature Points Matching; 4.5.3 Feature Points Correspondence; 4.5.4 Image Projection and Geometrical Improvement of Panorama; 4.5.5 Visualization of High Speed Objects in Panoramic Images; 4.6 Lighting Improvement of Panoramic Images; 4.6.1 Application of Enhancement Multi-scale Retinex Algorithm; 4.6.2 The Edges Smoothing Procedure; 4.6.3 Blending Algorithm for Stitching Area; 4.7 Discussion of Experimental Results; 4.8 Conclusion; References. 000771491 506__ $$aAccess limited to authorized users. 000771491 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed December 1, 2014). 000771491 650_0 $$aComputer vision. 000771491 7001_ $$aFavorskai͡a, M. N.$$q(Margarita Nikolaevna),$$eeditor. 000771491 7001_ $$aJain, L. C.,$$eeditor. 000771491 77608 $$iPrint version:$$aFavorskaya, Margarita N.$$tComputer Vision in Control Systems-2 : Innovations in Practice.$$dCham : Springer International Publishing, ©2014$$z9783319114293 000771491 830_0 $$aIntelligent systems reference library ;$$vvolume 75. 000771491 85280 $$bebk$$hSpringerLink 000771491 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-11430-9$$zOnline Access$$91397441.1 000771491 909CO $$ooai:library.usi.edu:771491$$pGLOBAL_SET 000771491 980__ $$aEBOOK 000771491 980__ $$aBIB 000771491 982__ $$aEbook 000771491 983__ $$aOnline 000771491 994__ $$a92$$bISE