Availability: Prediction strategies for dynamic objects in visual scenes

Prediction strategies for dynamic objects in visual scenes:

Saved in:

Bibliographic Details
Main Author:	Zhang, Chen 1982- (Author)
Format:	Thesis/Dissertation Book
Language:	English
Published:	Düsseldorf VDI-Verl. 2011
Edition:	Als Ms. gedr.
Series:	Fortschritt-Berichte VDI Reihe 8, Mess-, Steuerungs- und Regelungstechnik ; 1198
Subjects:	Zustandsschätzung Größenwahrnehmung Prognose Objektverfolgung Graphisches Modell Szenenanalyse Wissensbasis Bayes-Inferenz Hierarchisches System Tiefenerkennung Hochschulschrift
Links:	http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=024517491&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
Physical Description:	XV, 156 S. Ill., graph. Darst. 21 cm
ISBN:	9783185198083

Staff View

MARC


LEADER	00000nam a2200000 cb4500
001	BV039668280
003	DE-604
005	20111105
007	t\|
008	111030s2011 xx ad\|\| m\|\|\| 00\|\|\| eng d
020			\|a 9783185198083 \|9 978-3-18-519808-3
035			\|a (OCoLC)760205538
035			\|a (DE-599)BVBBV039668280
040			\|a DE-604 \|b ger \|e rakwb
041	0		\|a eng
049			\|a DE-210 \|a DE-83
084			\|a ST 620 \|0 (DE-625)143684: \|2 rvk
100	1		\|a Zhang, Chen \|d 1982- \|e Verfasser \|0 (DE-588)101477683X \|4 aut
245	1	0	\|a Prediction strategies for dynamic objects in visual scenes \|c Chen Zhang
250			\|a Als Ms. gedr.
264		1	\|a Düsseldorf \|b VDI-Verl. \|c 2011
300			\|a XV, 156 S. \|b Ill., graph. Darst. \|c 21 cm
336			\|b txt \|2 rdacontent
337			\|b n \|2 rdamedia
338			\|b nc \|2 rdacarrier
490	1		\|a Fortschritt-Berichte VDI : Reihe 8, Mess-, Steuerungs- und Regelungstechnik \|v 1198
490	0		\|a Berichte aus dem Institut für Automatisierungstechnik und Mechatronik der TU Darmstadt
502			\|a Zugl.: Darmstadt, Techn. Univ., Diss, 2011
650	0	7	\|a Zustandsschätzung \|0 (DE-588)4129826-3 \|2 gnd \|9 rswk-swf
650	0	7	\|a Größenwahrnehmung \|0 (DE-588)4158223-8 \|2 gnd \|9 rswk-swf
650	0	7	\|a Prognose \|0 (DE-588)4047390-9 \|2 gnd \|9 rswk-swf
650	0	7	\|a Objektverfolgung \|0 (DE-588)4311226-2 \|2 gnd \|9 rswk-swf
650	0	7	\|a Graphisches Modell \|0 (DE-588)4606156-3 \|2 gnd \|9 rswk-swf
650	0	7	\|a Szenenanalyse \|0 (DE-588)4435333-9 \|2 gnd \|9 rswk-swf
650	0	7	\|a Wissensbasis \|0 (DE-588)4289274-0 \|2 gnd \|9 rswk-swf
650	0	7	\|a Bayes-Inferenz \|0 (DE-588)4648118-7 \|2 gnd \|9 rswk-swf
650	0	7	\|a Hierarchisches System \|0 (DE-588)4159833-7 \|2 gnd \|9 rswk-swf
650	0	7	\|a Tiefenerkennung \|0 (DE-588)4690004-4 \|2 gnd \|9 rswk-swf
655		7	\|0 (DE-588)4113937-9 \|a Hochschulschrift \|2 gnd-content
689	0	0	\|a Objektverfolgung \|0 (DE-588)4311226-2 \|D s
689	0	1	\|a Szenenanalyse \|0 (DE-588)4435333-9 \|D s
689	0	2	\|a Zustandsschätzung \|0 (DE-588)4129826-3 \|D s
689	0	3	\|a Prognose \|0 (DE-588)4047390-9 \|D s
689	0	4	\|a Bayes-Inferenz \|0 (DE-588)4648118-7 \|D s
689	0	5	\|a Hierarchisches System \|0 (DE-588)4159833-7 \|D s
689	0	6	\|a Tiefenerkennung \|0 (DE-588)4690004-4 \|D s
689	0	7	\|a Größenwahrnehmung \|0 (DE-588)4158223-8 \|D s
689	0	8	\|a Graphisches Modell \|0 (DE-588)4606156-3 \|D s
689	0	9	\|a Wissensbasis \|0 (DE-588)4289274-0 \|D s
689	0		\|5 DE-604
830		0	\|a Fortschritt-Berichte VDI \|v Reihe 8, Mess-, Steuerungs- und Regelungstechnik ; 1198 \|w (DE-604)BV000882482 \|9 1198
856	4	2	\|m DNB Datenaustausch \|q application/pdf \|u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=024517491&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA \|3 Inhaltsverzeichnis
943	1		\|a oai:aleph.bib-bvb.de:BVB01-024517491

Record in the Search Index

_version_	1819283853927251968
adam_text	IMAGE 1 CONTENTS LIST OF SYMBOLS AND ABBREVIATIONS VIII ABSTRACT XII KURZFASSUNG XIV 1 INTRODUCTION 1 1.1 GOALS AND NOVELTIES OF THIS THESIS 4 1.2 OUTLINE OF THIS THESIS 5 2 EMBEDDING: FUNDAMENTALS AND RELATED APPROACHES 7 2.1 MOTIVATION: FROM BIOLOGICAL PARADIGM TO TECHNICAL IMITATION . 7 2.2 OBJECT TRACKING AS A NON-LINEAR FILTERING PROBLEM 9 2.2.1 STATE ESTIMATION 9 2.2.2 OPTIMAL VS. SUBOPTIMAL FILTERS 11 2.3 VISUAL SENSORY MEASUREMENT 16 2.3.1 OBJECT REPRESENTATION AND FEATURE SELECTION 16 2.3.2 MEASUREMENT METHODS 17 2.3.3 TEMPLATE ADAPTATION 20 2.3.4 OBJECT SEGMENTATION 20 2.3.5 NOVELTY OF THIS WORK 21 2.4 PREDICTION STRATEGIES 21 2.4.1 MULTIPLE MODEL PREDICTION 22 2.4.2 HIERARCHICAL BAYESIAN MODELING 25 2.4.3 NOVELTY OF THIS WORK 26 2.5 DEPTH TRACKING 28 2.5.1 DEPTH CUES 28 2.5.2 NOVELTY OF THIS WORK 30 3 ROBUST MEASUREMENT FOR A VISUAL 2D TRACKING SYSTEM 31 3.1 APPEARANCE-BASED 2D TRACKING: FRAMEWORK OVERVIEW 33 3.2 MULTIPLE-CUE-BASED POSITION MEASUREMENT 35 3.3 DYNAMIC STATE ESTIMATION 38 BIBLIOGRAFISCHE INFORMATIONEN HTTP://D-NB.INFO/1016155964 DIGITALISIERT DURCH IMAGE 2 VI CONTENTS 3.3.1 INTERACTING MULTIPLE MODELS 38 3.3.2 CUE INTEGRATION BY MULTIPLE OBSERVATION MODELS . . .. 42 3.3.3 PARTICLE FILTER 44 3.4 TEMPLATE ADAPTATION 44 3.4.1 LEVEL-SET SEGMENTATION 44 3.4.2 DRIFT CORRECTION 48 3.5 INITIALIZATION AND RELEASE LOGIC 50 3.6 CUE SPACE 52 3.6.1 RGB CHANNELS 52 3.6.2 STRUCTURE TENSOR 52 3.6.3 DIFFERENCE OF GAUSSIANS 54 3.6.4 STEREO DISPARITY 54 3.7 PERFORMANCE EVALUATION 55 3.7.1 SCENARIO 1: HAND TRACKING 55 3.7.2 SCENARIO 2: TRAFFIC PARTICIPANTS TRACKING 57 3.8 CONCLUSION 64 4 PREDICTION STRATEGIES 67 4.1 HIERARCHICAL PREDICTION 70 4.1.1 A UNIFIED TRACKING MODULE 71 4.1.2 MUTUAL INFLUENCES 75 4.2 AN EXAMPLE SYSTEM: HIERARCHICAL 2D-3D TRACKING 76 4.2.1 CONSTRUCTION 77 4.2.2 PERFORMANCE EVALUATION 79 4.2.3 CONCLUSION 82 4.3 COMPETITIVE PREDICTION 84 4.3.1 TRACKING FRAMEWORK 86 4.3.2 TARGET SPECIFIC MODELS FOR ENHANCED PREDICTION 86 4.3.3 QUALITY MEASURES FOR HARD MODEL SWITCHING 89 4.3.4 RESULTS 92 4.3.5 CONCLUSION 92 4.4 OUTLOOK: SELF-DEVELOPMENTAL SYSTEM 95 5 DEPTH TRACKING USING DEPTH-FROM-SIZE 97 5.1 MEASUREMENT OF RETINAL SIZE SCALE 99 5.1.1 TEMPLATE MATCHING WITH 2D AFFINE TRANSFORMATIONS . . 100 5.1.2 RESOLUTION AND TRANSFORMATION PYRAMIDS 102 5.1.3 QUANTITATIVE ANALYSIS FOR LARGE-SCALE TRANSFORMATIONS . 104 5.1.4 DISCUSSION 107 5.2 DEPTH-FROM-SIZE APPROACH 109 IMAGE 3 CONTENTS VII 5.2.1 GRAPHICAL MODEL REPRESENTATION 109 5.2.2 APPROACH 114 5.2.3 SYSTEM OPERATION AND INITIALIZATION 120 5.3 EVALUATION RESULTS 122 5.3.1 ARTIFICIAL SCENARIO WITH GROUND TRUTH 122 5.3.2 REAL-WORLD SCENARIO 123 5.4 CONCLUSION 124 6 SUMMARY AND OUTLOOK 127 6.1 SUMMARY 127 6.2 OUTLOOK 130 A GRAPHICAL MODEL: INFERENCE IN DYNAMIC BAYESIAN NETWORKS 132 B DERIVATION OF BAYESIAN TRACKING EQUATIONS 135 C IMPLEMENTATION OF THE TRACKING SYSTEM 139 LIST OF PUBLICATIONS BY THE AUTHOR 141 LIST OF SUPERVISIONS BY THE AUTHOR 143 BIBLIOGRAPHY 145
any_adam_object	1
author	Zhang, Chen 1982-
author_GND	(DE-588)101477683X
author_facet	Zhang, Chen 1982-
author_role	aut
author_sort	Zhang, Chen 1982-
author_variant	c z cz
building	Verbundindex
bvnumber	BV039668280
classification_rvk	ST 620
ctrlnum	(OCoLC)760205538 (DE-599)BVBBV039668280
discipline	Informatik
edition	Als Ms. gedr.
format	Thesis Book
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02776nam a2200601 cb4500</leader><controlfield tag="001">BV039668280</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20111105 </controlfield><controlfield tag="007">t\|</controlfield><controlfield tag="008">111030s2011 xx ad\|\| m\|\|\| 00\|\|\| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783185198083</subfield><subfield code="9">978-3-18-519808-3</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)760205538</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV039668280</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-210</subfield><subfield code="a">DE-83</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 620</subfield><subfield code="0">(DE-625)143684:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Zhang, Chen</subfield><subfield code="d">1982-</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)101477683X</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Prediction strategies for dynamic objects in visual scenes</subfield><subfield code="c">Chen Zhang</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">Als Ms. gedr.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Düsseldorf</subfield><subfield code="b">VDI-Verl.</subfield><subfield code="c">2011</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">XV, 156 S.</subfield><subfield code="b">Ill., graph. Darst.</subfield><subfield code="c">21 cm</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="1" ind2=" "><subfield code="a">Fortschritt-Berichte VDI : Reihe 8, Mess-, Steuerungs- und Regelungstechnik</subfield><subfield code="v">1198</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Berichte aus dem Institut für Automatisierungstechnik und Mechatronik der TU Darmstadt</subfield></datafield><datafield tag="502" ind1=" " ind2=" "><subfield code="a">Zugl.: Darmstadt, Techn. Univ., Diss, 2011</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Zustandsschätzung</subfield><subfield code="0">(DE-588)4129826-3</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Größenwahrnehmung</subfield><subfield code="0">(DE-588)4158223-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Prognose</subfield><subfield code="0">(DE-588)4047390-9</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Objektverfolgung</subfield><subfield code="0">(DE-588)4311226-2</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Graphisches Modell</subfield><subfield code="0">(DE-588)4606156-3</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Szenenanalyse</subfield><subfield code="0">(DE-588)4435333-9</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Wissensbasis</subfield><subfield code="0">(DE-588)4289274-0</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Bayes-Inferenz</subfield><subfield code="0">(DE-588)4648118-7</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Hierarchisches System</subfield><subfield code="0">(DE-588)4159833-7</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Tiefenerkennung</subfield><subfield code="0">(DE-588)4690004-4</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="655" ind1=" " ind2="7"><subfield code="0">(DE-588)4113937-9</subfield><subfield code="a">Hochschulschrift</subfield><subfield code="2">gnd-content</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Objektverfolgung</subfield><subfield code="0">(DE-588)4311226-2</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Szenenanalyse</subfield><subfield code="0">(DE-588)4435333-9</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Zustandsschätzung</subfield><subfield code="0">(DE-588)4129826-3</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="3"><subfield code="a">Prognose</subfield><subfield code="0">(DE-588)4047390-9</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="4"><subfield code="a">Bayes-Inferenz</subfield><subfield code="0">(DE-588)4648118-7</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="5"><subfield code="a">Hierarchisches System</subfield><subfield code="0">(DE-588)4159833-7</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="6"><subfield code="a">Tiefenerkennung</subfield><subfield code="0">(DE-588)4690004-4</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="7"><subfield code="a">Größenwahrnehmung</subfield><subfield code="0">(DE-588)4158223-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="8"><subfield code="a">Graphisches Modell</subfield><subfield code="0">(DE-588)4606156-3</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="9"><subfield code="a">Wissensbasis</subfield><subfield code="0">(DE-588)4289274-0</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="830" ind1=" " ind2="0"><subfield code="a">Fortschritt-Berichte VDI</subfield><subfield code="v">Reihe 8, Mess-, Steuerungs- und Regelungstechnik ; 1198</subfield><subfield code="w">(DE-604)BV000882482</subfield><subfield code="9">1198</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="m">DNB Datenaustausch</subfield><subfield code="q">application/pdf</subfield><subfield code="u">http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=024517491&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA</subfield><subfield code="3">Inhaltsverzeichnis</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-024517491</subfield></datafield></record></collection>
genre	(DE-588)4113937-9 Hochschulschrift gnd-content
genre_facet	Hochschulschrift
id	DE-604.BV039668280
illustrated	Illustrated
indexdate	2024-12-20T15:59:48Z
institution	BVB
isbn	9783185198083
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-024517491
oclc_num	760205538
open_access_boolean
owner	DE-210 DE-83
owner_facet	DE-210 DE-83
physical	XV, 156 S. Ill., graph. Darst. 21 cm
publishDate	2011
publishDateSearch	2011
publishDateSort	2011
publisher	VDI-Verl.
record_format	marc
series	Fortschritt-Berichte VDI
series2	Fortschritt-Berichte VDI : Reihe 8, Mess-, Steuerungs- und Regelungstechnik Berichte aus dem Institut für Automatisierungstechnik und Mechatronik der TU Darmstadt
spellingShingle	Zhang, Chen 1982- Prediction strategies for dynamic objects in visual scenes Fortschritt-Berichte VDI Zustandsschätzung (DE-588)4129826-3 gnd Größenwahrnehmung (DE-588)4158223-8 gnd Prognose (DE-588)4047390-9 gnd Objektverfolgung (DE-588)4311226-2 gnd Graphisches Modell (DE-588)4606156-3 gnd Szenenanalyse (DE-588)4435333-9 gnd Wissensbasis (DE-588)4289274-0 gnd Bayes-Inferenz (DE-588)4648118-7 gnd Hierarchisches System (DE-588)4159833-7 gnd Tiefenerkennung (DE-588)4690004-4 gnd
subject_GND	(DE-588)4129826-3 (DE-588)4158223-8 (DE-588)4047390-9 (DE-588)4311226-2 (DE-588)4606156-3 (DE-588)4435333-9 (DE-588)4289274-0 (DE-588)4648118-7 (DE-588)4159833-7 (DE-588)4690004-4 (DE-588)4113937-9
title	Prediction strategies for dynamic objects in visual scenes
title_auth	Prediction strategies for dynamic objects in visual scenes
title_exact_search	Prediction strategies for dynamic objects in visual scenes
title_full	Prediction strategies for dynamic objects in visual scenes Chen Zhang
title_fullStr	Prediction strategies for dynamic objects in visual scenes Chen Zhang
title_full_unstemmed	Prediction strategies for dynamic objects in visual scenes Chen Zhang
title_short	Prediction strategies for dynamic objects in visual scenes
title_sort	prediction strategies for dynamic objects in visual scenes
topic	Zustandsschätzung (DE-588)4129826-3 gnd Größenwahrnehmung (DE-588)4158223-8 gnd Prognose (DE-588)4047390-9 gnd Objektverfolgung (DE-588)4311226-2 gnd Graphisches Modell (DE-588)4606156-3 gnd Szenenanalyse (DE-588)4435333-9 gnd Wissensbasis (DE-588)4289274-0 gnd Bayes-Inferenz (DE-588)4648118-7 gnd Hierarchisches System (DE-588)4159833-7 gnd Tiefenerkennung (DE-588)4690004-4 gnd
topic_facet	Zustandsschätzung Größenwahrnehmung Prognose Objektverfolgung Graphisches Modell Szenenanalyse Wissensbasis Bayes-Inferenz Hierarchisches System Tiefenerkennung Hochschulschrift
url	http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=024517491&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
volume_link	(DE-604)BV000882482
work_keys_str_mv	AT zhangchen predictionstrategiesfordynamicobjectsinvisualscenes

Availability

‌

Table of contents