Holdings: Probabilistic multi-person localisation and tracking

Probabilistic multi-person localisation and tracking:

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Bibliographic Details
Main Author:	Klinger, Tobias 1984- (Author)
Format:	Thesis Book
Language:	English
Published:	Hannover [Fachrichtung Geodäsie und Geoinformatik der Leibniz Universität Hannover] 2016
Series:	Wissenschaftliche Arbeiten der Fachrichtung Geodäsie und Geoinformatik der Leibniz-Universität Hannover Nr. 329
Subjects:	Ortung Hochschulschrift
Online Access:	Inhaltsverzeichnis Inhaltsverzeichnis
Physical Description:	xiv, 111 Seiten Illustrationen, Diagramme 30 cm

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MARC


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adam_text	TABLE OF CONTENTS 1 INTRODUCTION 1 1.1 M OTIVATION................................................................................................................................ 1 1.2 RESEARCH OBJECTIVES AND CONTRIBUTIONS ................................................................................ 2 1.3 OUTLINE OF THE DISSERTATION..................................................................................................... 3 2 BASICS 5 2.1 PROBABILISTIC M ODELLING........................................................................................................... 5 2.1.1 BAYESIAN P RO B A B ILITIES............................................................................................... 6 2.1.2 BAYESIAN N E TW O RK S ..................................................................................................... 6 2.1.3 MARGINALISATION AND INFERENCE................................................................................... 7 2.2 RECURSIVE BAYESIAN ESTIM ATION............................................................................................... 10 2.2.1 THE KALMAN FILTER M ODEL............................................................................................ 12 2.2.2 DYNAMIC BAYESIAN NETWORKS...................................................................................... 15 2.3 GAUSSIAN PROCESS REGRESSION.................................................................................................. 16 3 RELATED WORK 19 3.1 TRACKING A P P RO ACH ES.............................................................................................................. 19 3.2 OBSERVATIONS .......................................................................................................................... 22 3.3 TEMPORAL MODELLING .............................................................................................................. 26 3.4 DATA A SS O C IA TIO N .................................................................................................................... 28 3.5 DISCUSSION................................................................................................................................ 29 4 A NEW PROBABILISTIC APPROACH FOR MULTI-PERSON LOCALISATION AND TRACKING 33 4.1 PROBLEM STATEMENT VIA DYNAMIC BAYESIAN NETWORKS ....................................................... 35 4.2 OBSERVATIONS .......................................................................................................................... 38 4.2.1 PRIOR KNOWLEDGE ABOUT THE S C E N E ............................................................................ 39 4.2.2 GENERIC PERSON DETECTION............................................................................................ 41 4.2.3 INSTANCE-SPECIFIC CLASSIFICATION .................................................................................. 44 4.3 TEMPORAL MODEL .................................................................................................................... 47 4.3.1 IMPLICIT MOTION C O N TE X T............................................................................................ 47 4.3.2 MUTUAL OCCLUSIONS ..................................................................................................... 50 4.4 DATA A SS O C IA TIO N .................................................................................................................... 51 4.5 RECURSIVE E STIM A TIO N .............................................................................................................. 54 4.5.1 INFERENCE ................................................................................................. 54 4.5.2 INITIALISATION AND TE RM IN A TIO N .................................................................................. 61 4.6 D ISCUSSION................................................................................................................................. 61 5 EXPERIMENTS 65 5.1 DATASETS AND EVALUATION C RITE RIA ............................................................................................ 66 5.2 SENSITIVITY STUDY AND TRA IN IN G ............................................................................................... 69 5.2.1 D ETECTO R........................................................................................................................ 69 5.2.2 CLASSIFIER ..................................................................................................................... 70 5.2.3 TEMPORAL MODEL ........................................................................................................ 74 5.2.4 RECURSIVE F I L T E R ........................................................................................................... 75 5.3 MODEL VALIDATION BY ABLATION OF ITS CO M P O N EN TS................................................................. 76 5.4 MULTI-PERSON LOCALISATION AND TRACKING E V A LU A TIO N ............................................................. 82 5.4.1 LOCALISATION ACCURACY ............................................................................................... 82 5.4.2 FILTER CONSISTENCY........................................................................................................ 82 5.4.3 BENCHMARK R E S U L T S ..................................................................................................... 86 6 DISCUSSION OF THE RESULTS 91 6.1 METHOD E V A LU A TIO N ................................................................................................................. 91 6.2 EVALUATION OF THE TRA JE C TO RIE S ............................................................................................... 94 7 CONCLUSIONS AND FUTURE WORK 97 BIBLIOGRAPHY 101
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spelling	Klinger, Tobias 1984- Verfasser (DE-588)113308513X aut Probabilistic multi-person localisation and tracking Tobias Klinger Hannover [Fachrichtung Geodäsie und Geoinformatik der Leibniz Universität Hannover] 2016 xiv, 111 Seiten Illustrationen, Diagramme 30 cm txt rdacontent n rdamedia nc rdacarrier Wissenschaftliche Arbeiten der Fachrichtung Geodäsie und Geoinformatik der Leibniz-Universität Hannover Nr. 329 Dissertation Gottfried Wilhelm Leibniz Universität Hannover 2016 Ortung (DE-588)4172896-8 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Ortung (DE-588)4172896-8 s DE-604 Wissenschaftliche Arbeiten der Fachrichtung Geodäsie und Geoinformatik der Leibniz-Universität Hannover Nr. 329 (DE-604)BV021269345 Nr. 329 B:DE-101 application/pdf http://d-nb.info/1133085210/04 Inhaltsverzeichnis DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029911432&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis
spellingShingle	Klinger, Tobias 1984- Probabilistic multi-person localisation and tracking Wissenschaftliche Arbeiten der Fachrichtung Geodäsie und Geoinformatik der Leibniz-Universität Hannover Ortung (DE-588)4172896-8 gnd
subject_GND	(DE-588)4172896-8 (DE-588)4113937-9
title	Probabilistic multi-person localisation and tracking
title_auth	Probabilistic multi-person localisation and tracking
title_exact_search	Probabilistic multi-person localisation and tracking
title_full	Probabilistic multi-person localisation and tracking Tobias Klinger
title_fullStr	Probabilistic multi-person localisation and tracking Tobias Klinger
title_full_unstemmed	Probabilistic multi-person localisation and tracking Tobias Klinger
title_short	Probabilistic multi-person localisation and tracking
title_sort	probabilistic multi person localisation and tracking
topic	Ortung (DE-588)4172896-8 gnd
topic_facet	Ortung Hochschulschrift
url	http://d-nb.info/1133085210/04 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029911432&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
volume_link	(DE-604)BV021269345
work_keys_str_mv	AT klingertobias probabilisticmultipersonlocalisationandtracking

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