Visual Analysis of Humans

TRAMA

Understanding human activity from video is one of the central problems in the field of computer vision, driven by a wide variety of applications in communications, entertainment, security, commerce, and athletics.This unique text/reference provides a coherent and comprehensive overview of all aspects of video analysis of humans. Broad in coverage and accessible in style, the text presents original perspectives collected from preeminent researchers gathered from across the world. In addition to presenting state-of-the-art research, the book reviews the historical origins of the different existing methods, and predicts future trends and challenges.Topics and features: with a Foreword by Professor Larry Davis of the University of Maryland Institute for Advanced Computer Studies, USA; contains contributions from an international selection of leading authorities in the field; includes an extensive glossary; discusses the problems associated with detecting and tracking people through camera networks; examines topics related to determining the time-varying 3D pose of a person from video; investigates the representation and recognition of human and vehicular actions; reviews the most important applications of activity recognition, from biometrics and surveillance, to sports and driver assistance.With its all-encompassing scope, this essential reference will be of great value not only to graduate students in computer vision, but also to all researchers and professionals interested in systems for the visual analysis of humans.

SOMMARIO

Part I: Detection and TrackingIs There Anybody Out There?Thomas B. MoeslundBeyond the Static Camera: Issues and Trends in Active VisionMurad Al Haj, Carles Fernández, Zhanwu Xiong, Ivan Huerta, Jordi Gonzàlez and Xavier RocaFigure-Ground Segmentation - Pixel-BasedAhmed ElgammalFigure-Ground Segmentation – Object BasedBastian LeibeFace DetectionRaghuraman Gopalan, William Robson Schwartz, Rama Chellappa, and Ankur SrivastavaWide Area Tracking in Single and Multiple ViewsB. Song, R. J. Sethi and A. K. Roy-ChowdhuryBenchmark Datasets for Detection and TrackingAnna-Louise Ellis and James FerrymanPart II: Pose EstimationArticulated Pose Estimation and Tracking: IntroductionLeonid SigalModel-based Pose EstimationGerard Pons-Moll and Bodo RosenhahnMotion Models for People TrackingDavid J. FleetPart-based Models for Finding People and Estimating Their PoseDeva RamananFeature-based Pose EstimationCristian Sminchisescu, Liefeng Bo, Catalin Ionescu and Atul KanaujiaBenchmark Datasets for Pose Estimation and TrackingMykhaylo Andriluka, Leonid Sigal and Michael J. BlackPart III: RecognitionOn Human ActionAaron Bobick and Volker KrügerMotion Pattern Analysis for Modeling and Recognition of Complex Human ActivitiesNandita M. Nayak, Ricky J.Sethi, Bi Song, Amit K. Roy-ChowdhuryAction Recognition Using Topic ModelsXiaogang WangLearning Action PrimitivesDana Kulic, Danica Kragic and Volker KrügerContextual Action RecognitionHedvig KjellströmFacial Expression AnalysisFernando De la Torre and Jeffrey F. CohnBenchmarking Datasets for Human Activity RecognitionHaowei Liu, Rogerio Feris and Ming-Ting SunPart IV: ApplicationsApplications for Visual Analysis of PeopleAdrian HiltonImage and Video-based BiometricsVishal M. Patel, Jaishanker K. Pillai and Rama ChellappaSecurity and SurveillanceShaogang Gong, Chen Change Loy and Tao XiangPredicting Pedestrian TrajectoriesStefano Pellegrini, Andreas Ess and Luc Van GoolHuman Computer InteractionDennis Lin and Vuong Le and Thomas HuangSocial Signal Processing: The Research AgendaMaja Pantic, Roderick Cowie, Francesca DErrico, Dirk Heylen, Marc Mehu, Catherine Pelachaud, Isabella Poggi, Marc Schroeder and Alessandro VinciarelliSign Language RecognitionHelen Cooper, Brian Holt and Richard BowdenSports TV Applications of Computer VisionGraham ThomasMulti-view 4D Reconstruction of Human Action for EntertainmentOliver GrauVision for Driver Assistance: Looking at People in a VehicleCuong Tran and Mohan Manubhai Trivedi

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9780857299963
• Dimensioni: 235 x 155 mm Ø 1194 gr
• Formato: Copertina rigida
• Illustration Notes: XXII, 634 p.
• Pagine Arabe: 634
• Pagine Romane: xxii