Holdings: Person Re-Identification

Person Re-Identification:

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Bibliographic Details
Format:	Electronic eBook
Language:	German
Published:	London Springer London 2014
Edition:	Aufl. 2014
Subjects:	Wiedererkennen Big Data Identifizierbarkeit
Online Access:	BFB01 BTU01 FHA01 FHM01 FHN01 FKE01 FRO01 UBG01 UBR01 UBT01 UBW01 UER01 UPA01 Volltext Inhaltsverzeichnis Abstract
Item Description:	Lizenzpflichtig
Physical Description:	1 Online-Ressource (XII, 445 S.)
Format:	Langzeitarchivierung gewährleistet, LZA
ISBN:	9781447162964
DOI:	10.1007/978-1-4471-6296-4

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MARC


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Record in the Search Index

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adam_text	PERSON RE-IDENTIFICATION / : 2014 TABLE OF CONTENTS / INHALTSVERZEICHNIS 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 DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT. PERSON RE-IDENTIFICATION / : 2014 ABSTRACT / INHALTSTEXT 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 DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
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discipline	Informatik
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indexdate	2024-07-10T01:01:37Z
institution	BVB
isbn	9781447162964
language	German
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spelling	Person Re-Identification Shaogang Gong ... (Hrsg.) Aufl. 2014 London Springer London 2014 1 Online-Ressource (XII, 445 S.) txt rdacontent c rdamedia cr rdacarrier Lizenzpflichtig Langzeitarchivierung gewährleistet, LZA Wiedererkennen (DE-588)4189830-8 gnd rswk-swf Big Data (DE-588)4802620-7 gnd rswk-swf Identifizierbarkeit (DE-588)4732046-1 gnd rswk-swf Identifizierbarkeit (DE-588)4732046-1 s Big Data (DE-588)4802620-7 s Wiedererkennen (DE-588)4189830-8 s DE-604 Gong, Shaogang Sonstige oth Erscheint auch als Druckausgabe 978-1-4471-6295-7 https://doi.org/10.1007/978-1-4471-6296-4 Verlag Volltext Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027083356&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027083356&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Abstract
spellingShingle	Person Re-Identification Wiedererkennen (DE-588)4189830-8 gnd Big Data (DE-588)4802620-7 gnd Identifizierbarkeit (DE-588)4732046-1 gnd
subject_GND	(DE-588)4189830-8 (DE-588)4802620-7 (DE-588)4732046-1
title	Person Re-Identification
title_auth	Person Re-Identification
title_exact_search	Person Re-Identification
title_full	Person Re-Identification Shaogang Gong ... (Hrsg.)
title_fullStr	Person Re-Identification Shaogang Gong ... (Hrsg.)
title_full_unstemmed	Person Re-Identification Shaogang Gong ... (Hrsg.)
title_short	Person Re-Identification
title_sort	person re identification
topic	Wiedererkennen (DE-588)4189830-8 gnd Big Data (DE-588)4802620-7 gnd Identifizierbarkeit (DE-588)4732046-1 gnd
topic_facet	Wiedererkennen Big Data Identifizierbarkeit
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