Person Re-Identification (Record no. 58700)

000 -LEADER
fixed length control field 05224nam a22006375i 4500
001 - CONTROL NUMBER
control field 978-1-4471-6296-4
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200421112548.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 140103s2014 xxk| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781447162964
-- 978-1-4471-6296-4
082 04 - CLASSIFICATION NUMBER
Call Number 006.6
082 04 - CLASSIFICATION NUMBER
Call Number 006.37
245 10 - TITLE STATEMENT
Title Person Re-Identification
300 ## - PHYSICAL DESCRIPTION
Number of Pages XVIII, 445 p. 163 illus., 154 illus. in color.
490 1# - SERIES STATEMENT
Series statement Advances in Computer Vision and Pattern Recognition,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 The Re-Identification Challenge -- Part I: Features and Representations -- Discriminative Image Descriptors for Person Re-Identification -- SDALF -- Re-Identification by Covariance Descriptors -- Attributes-Based Re-Identification -- Person Re-Identification by Attribute-Assisted Clothes Appearance -- Person Re-Identification by Articulated Appearance Matching -- One-Shot Person Re-Identification with a Consumer Depth Camera -- Group Association -- Evaluating Feature Importance for Re-Identification -- Part II: Matching and Distance Metric -- Learning Appearance Transfer for Person Re-Identification -- Mahalanobis Distance Learning for Person Re-Identification -- Dictionary-Based Domain Adaptation Methods for the Re-Identification of Faces -- From Re-Identification to Identity Inference -- Re-Identification for Improved People Tracking -- Part III: Evaluation and Application -- Benchmarking for Person Re-Identification -- Person Re-Identification -- People Search with Textual Queries about Clothing Appearance Attributes -- Large Scale Camera Topology Mapping -- Scalable Multi-Camera Tracking in a Metropolis.
520 ## - SUMMARY, ETC.
Summary, etc Re-identification offers a useful tool for non-invasive biometric validation, surveillance, and human-robot interaction in a broad range of applications from crowd traffic management to personalised healthcare. This comprehensive volume is the first work of its kind dedicated to addressing the challenge of Person Re-Identification, presenting insights from an international selection of leading authorities in the field. Taking a strongly multidisciplinary approach, the text provides an in-depth discussion of recent developments and state-of-the-art methods drawn from the computer vision, pattern recognition and machine learning communities, embracing both fundamental research and practical applications. Topics and features: Introduces examples of robust feature representations, reviews salient feature weighting and selection mechanisms, and examines the benefits of semantic attributes Describes how to segregate meaningful body parts from background clutter Examines the use of 3D depth images, and contextual constraints derived from the visual appearance of a group Reviews approaches to feature transfer function and distance metric learning, and discusses potential solutions to issues of data scalability and identity inference Investigates the limitations of existing benchmark datasets, presents strategies for camera topology inference, and describes techniques for improving post-rank search efficiency Explores the design rationale and implementation considerations of building a practical re-identification system This timely collection will be of great interest to academics, industrial researchers and postgraduates involved in computer vision and machine learning, database image retrieval, big data mining, and search engines, as well as to developers keen to exploit this emerging technology for commercial applications.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
General subdivision Mathematics.
700 1# - AUTHOR 2
Author 2 Gong, Shaogang.
700 1# - AUTHOR 2
Author 2 Cristani, Marco.
700 1# - AUTHOR 2
Author 2 Yan, Shuicheng.
700 1# - AUTHOR 2
Author 2 Loy, Chen Change.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-1-4471-6296-4
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- London :
-- Springer London :
-- Imprint: Springer,
-- 2014.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer science.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer science
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- User interfaces (Computer systems).
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Image processing.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Pattern recognition.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Science.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Image Processing and Computer Vision.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Pattern Recognition.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Math Applications in Computer Science.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Information Systems Applications (incl. Internet).
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- User Interfaces and Human Computer Interaction.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial Intelligence (incl. Robotics).
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2191-6586
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-- ZDB-2-SCS

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