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首页Group and Crowd Behavior for Computer Vision[Book-2017]+高清无码+文字可复制+PDF/A长期归档
Group and Crowd Behavior for Computer Vision[Book-2017]+高清无码+文字可复制+PDF/A长期归档 主要包括三个部分17个章节,是2017年最新出品的关于Group和Crowd Collectiveness,以及metric learning,detecting,tracking,segmenting and so on诸多方面的书,非常适合关注于人群场景理解和行为分析方面的炼金术师!强烈推荐!
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GROUP AND
CROWD BEHAVIOR
FOR COMPUTER
VISION
![](https://csdnimg.cn/release/download_crawler_static/10550704/bg2.jpg)
Computer Vision and
Pattern Recognition Series
Series Editors
Horst Bischof Institute for Computer Graphics and Vision, Graz University of
Technology, Austria
Kyoung Mu Department of Electrical and Computer Engineering, Seoul National
University, Republic of Korea
Sudeep Sarkar Department of Computer Science and Engineering, University of South
Florida, Tampa, United States
Also in the Series:
Lin and Zhang, Low-Rank Models in Visual Analysis: Theories, Algorithms and Applications,
2017, ISBN: 9780128127315
Zheng et al., Statistical Shape and Deformation Analysis: Methods, Implementation and
Applications, 2017, ISBN: 9780128104934
De Marsico et al., Human Recognition in Unconstrained Environments: Using Computer
Vision, Pattern Recognition and Machine Learning Methods for Biometrics, 2017, ISBN:
9780081007051
Saha et al., Skeletonization: Theory, Methods and Applications, 2017, ISBN: 9780081012918
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GROUP AND
CROWD BEHAVIOR
FOR COMPUTER
VISION
Edited by
VITTORIO MURINO
MARCO CRISTANI
SHISHIR SHAH
SILVIO SAVARESE
![](https://csdnimg.cn/release/download_crawler_static/10550704/bg4.jpg)
ABOUT THE EDITORS
Vittorio Murino is a Full Professor at the University of Verona, Italy,
and Director of the PAVIS (Pattern Analysis and Computer Vision) de-
partment at the Istituto Italiano di Tecnologia. He received the Laurea
degree in Electronic Engineering in 1989 and the PhD in Electronic
Engineering and Computer Science in 1993 from the University of
Genova, Italy.
His main research interests include computer vision, pattern recognition, and ma-
chine learning, and more specifically, statistical and probabilistic techniques for image
and video processing, with applications in (human) behavior analysis and related appli-
cations such as video surveillance, biomedical imaging, and bioinformatics.
Prof. Murino is a coauthor of more than 400 papers published in refereed journals
and international conferences, and a member of the editorial board of Computer Vision
and Image Under standing, Machine Vision & Applications, and Pattern Analysis and
Applications journals.
Finally, he is a Senior Member of the IEEE and Fellow of the IAPR.
Marco Cristani is an Associate Professor at the University of Verona,
External Collaborator at the Istituto Italiano di Tecnologia, Genova,
Italy and an Associate Member at the National Research Council. After
receiving his Master’s Degree (having developed his thesis partially at
the Instituto Superior Tecnico, Lisbon under the supervision of Prof.
Mario Figueiredo), he obtained his PhD in Computer Science at the
Department of Computer Science at the University of Verona in 2006. During the pe-
riod of 2004–2005 he was a Research Scholar at the Univer sity of Southern California,
under the guidance of Prof. Ram Nevatia. He has been and is currently, a scientific
collaborator of a number of national and European projects. His research interests in-
clude statistical pattern recognition, and especially generative modeling, applied to video
surveillance, social signaling, and multimedia in general.
Shishir Shah is a Professor and Associate Chair in the Department of
Computer Science at the University of Houston, USA. He studied Me-
chanical Engineering as an undergraduate at The University of Texas
at Austin, where he received his BS degree in 1994. He received his
MS and PhD degrees in Electrical and Computer Engineering from
The University of Texas at Austin. His main research interests include
xiii
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xiv About the Editors
computer vision, pattern recognition, and machine learning with specific focus on hu-
man behavior modeling and analysis, scene understanding, video analytics, biometrics,
and microscopy image analysis. Over the past 20 years, his research has contributed to
knowledge in the areas of computer vision for navigation, surveillance, object recog-
nition, biomedical image analysis, and pattern recognition. He has authored numerous
papers on object recognition, sensor fusion, statistical pattern analysis, biometrics, and
video analytics. Prof. Shah currently serves as an Associate Editor for Image and Vision
Computing and the IEEE Journal of Translational Engineering in Health and Medicine.
He is a Senior Member of the IEEE.
Silvio Savarese is an Assistant Professor of Computer Science at Stan-
ford University. He earned his PhD in Electrical Engineering from the
California Institute of Technology in 2005 and was a Beckman Insti-
tute Fellow at the University of Illinois at Urbana-Champaign during
2005–2008. He joined Stanford in 2013 after being an Assistant and then
Associate Professor (with tenure) of Electrical and Computer Engineer-
ing at the University of Michigan, Ann Arbor, from 2008 to 2013. His research interests
include computer vision, object recognition and scene understanding, shape represen-
tation and reconstruction, human activity recognition and visual psychophysics. He is
a recipient of several awards including a Best Student Paper Award at CVPR 2016, the
James R. Croes Medal in 2013, a TRW Automotive Endowed Research Award in 2012,
an NSF Career Award in 2011, and Google Research Award in 2010. In 2002 he was
awarded the Walker von Brimer Award for outstanding research initiative.
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