Detection, tracking and gait-based identification of multiple people in videos:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Abschlussarbeit Buch |
| Sprache: | English |
| Veröffentlicht: |
München
Verl. Dr. Hut
2013
|
| Ausgabe: | 1. Aufl. |
| Schriftenreihe: | Ingenieurwissenschaften
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | X, 176 S. Ill., graph. Darst. |
| ISBN: | 9783843913713 |
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Datensatz im Suchindex
| _version_ | 1804151843343826944 |
|---|---|
| adam_text | CONTENTS
1 INTRODUCTION 1
1.1 CONTENTS 2
1.2 STRUCTURE OF THIS WORK 3
2 CHANGE DETECTION
AND SEGMENTATION 5
2.1 INTRODUCTION 6
2.2 RELATED WORK 6
2.3 GAUSSIAN MIXTURE MODELS 7
2.4 THE PIXEL-BASED ADAPTIVE SEGMENTER 9
2.4.1 SEGMENTATION DECISION 10
2.4.2 UPDATE OF THE BACKGROUND MODEL 11
2.4.3 UPDATE OF THE DECISION THRESHOLD 12
2.4.4 UPDATE OF THE LEARNING PARAMETER 13
2.4.5 DETAILS AND PARAMETER SETTINGS 14
2.5 COMPARISON 15
2.5.1 THE CHANGE DETECTION CHALLENGE 15
2.5.2 PERFORMANCE MEASURES 16
2.5.3 PERFORMANCE PER CATEGORY 17
2.5.4 PERFORMANCE EVALUATION 19
2.6 SUMMARY AND CONCLUSION 20
3 MULTI-CAMERA AGGREGATION 21
3.1 MULTILAYER HOMOGRAPHY 21
3.1.1 HANDLING OF FALSE POSITIVES 23
3.1.2 MULTILAYER PROCESSING 23
3.1.3 RESULTS AND CONCLUSION 24
3.2 THE 3D VOXEL OCCUPANCY GRID 25
3.2.1 DEFINITION AND SENSOR PROJECTION 26
VII
HTTP://D-NB.INFO/1045970476
CONTENTS
3.2.2 FUSION USING INTERSECTION 27
3.2.3 FUSION USING GRAPH CUTS 27
3.2.4 RESULTS 28
3.3 AGGREGATION OF DETECTOR SCORES 29
3.3.1 OVERVIEW 30
3.3.2 TRANSFORMATION FROM 2D TO 3D AND FILTERING 31
3.3.3 MEAN SHIFT ON KERNEL DENSITY ESTIMATION 31
3.3.4 MODELING OF UNCERTAINTIES 33
3.3.5 RESULTS 35
3.3.6 CONCLUSION 35
3.4 CHAPTER SUMMARY 36
4 MULTI-OBJECT TRACKING 37
4.1 RELATED WORK 38
4.2 STATE SPACE TRACKING USING VITERBI OPTIMIZATION 40
4.2 .
1 COMBINED TRACKING AND EVENT RECOGNITION 40
4.2.2 EVENT DETECTION 43
4.2.3 EXPERIMENTS 43
4.2.4 CONCLUSION 46
4.3 TRACKING BY DETECTION AS GLOBAL OPTIMIZATION 46
4.3.1 MIN-COST FORMULATION 48
4.3.2 COST FLOW GRAPH 49
4.3.3 HUNGARIAN TRACKING 50
4.4 HIERARCHICAL GRAPH-BASED TRACKING 52
4.4.1 OVERVIEW 53
4.4.2 MAXIMUM A POSTERIORI FORMULATION 54
4.4.3 MAP PARAMETERS 55
4.4.4 HIERARCHICAL TRACKING STRATEGY 60
4.4.5 RESULTS AND EVALUATION 65
4.4.6 CONCLUSION AND OUTLOOK 70
4.5 COMBINED MULTI-CAMERA AGGREGATION AND MULTI-OBJECT TRACKING 71
4.5.1 OVERVIEW 72
4.5.2 MULTI-CAMERA RECONSTRUCTION 73
4.5.3 MAP FORMULATION 73
4.5.4 MAPPING TO A CONSTRAINED MIN-COST FLOW GRAPH 75
4.5.5 MODELING OF PROBABILITIES 79
4.5.6 EVALUATION 82
4.5.7 OVERALL RESULTS 85
4.5.8 SUMMARY AND CONCLUSION 87
4.6 CHAPTER SUMMARY 87
VIII
CONTENTS
5 IDENTIFICATION OF PEOPLE USING
GAIT 89
5.1 GAIT AS A BIOMETRIC MODALITY 90
5.2 OVERVIEW OF CURRENT GAIT RECOGNITION SYSTEMS 90
5.2.1 GAIT ENERGY TEMPLATES 92
5.2.2 GAIT CLASSIFIERS 93
5.3 GAIT AND FACE WITH A-MATTE PRE-PROCESSING 94
5.3.1 SEGMENTATION USING ALPHA MATTES 94
5.3.2 GAIT FEATURE EXTRACTION USING A-GEI 96
5.3.3 FACE RECOGNITION 96
5.3.4 FUSION OF FACE AND GAIT 98
5.3.5 RESULTS AND COMPARISON 98
5.3.6 CONCLUSION 100
5.4 GAIT RECOGNITION USING GRADIENT HISTOGRAM FEATURE MODELING 101
5.4.1 THE GRADIENT HISTOGRAM ENERGY IMAGE 101
5.4.2 EXPERIMENTS 105
5.4.3 INFLUENCE OF THE NUMBER OF HOG CELLS 106
5.4.4 CONCLUSION AND OUTLOOK 107
5.5 MULTIMODAL FUSION 109
5.5.1 FEATURE EXTRACTION 110
5.5.2 EXPERIMENT DESCRIPTION 113
5.5.3 LEARNING ALGORITHMS 115
5.5.4 RESULTS 116
5.5.5 OUTLOOK AND CONCLUSION 121
5.6 GAIT RECOGNITION IN THE PRESENCE OF OCCLUSIONS 122
5.6.1 INTRODUCTION 122
5.6.2 PERSON TRACKING AND SEGMENTATION 123
5.6.3 GAIT CYCLE RECONSTRUCTION 127
5.6.4 FINDING RECONSTRUCTION FRAMES 128
5.6.5 EXPERIMENTS 129
5.6.6 CONCLUSION 132
5.7 CHAPTER SUMMARY 133
6 SUMMARY AND CONCLUSION 135
6.1 SUMMARY 135
6.2 CONCLUSION AND OUTLOOK 137
A PERFORMANCE MEASURES 139
A.L MAPPING OBJECTS AND GROUND TRUTH 139
A.2 EVALUATION METRICS 140
IX
CONTENTS
B DATABASES 143
B.L GAIT DATABASES 143
B.L.L OVERVIEW OF GAIT DATABASES 143
B.L.2 TUM-UTKGP DATABASE 145
B.L.3 TUM-GAID DATABASE 147
B.2 TRACKING DATABASES 151
B.2.1 PROMETHEUS DATABASE 151
B.2.2 PETS 2009 DATABASE 152
ACRONYMS 155
LIST OF SYMBOLS 157
REFERENCES 161
X
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| spelling | Hofmann, Martin Verfasser aut Detection, tracking and gait-based identification of multiple people in videos Martin Hofmann 1. Aufl. München Verl. Dr. Hut 2013 X, 176 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Ingenieurwissenschaften Zugl.: München, Techn. Univ., Diss., 2013 Szenenanalyse (DE-588)4435333-9 gnd rswk-swf Videoüberwachungsanlage (DE-588)7535446-9 gnd rswk-swf Gehen (DE-588)4140871-8 gnd rswk-swf Mehrkamerasystem (DE-588)7519506-9 gnd rswk-swf Objekterkennung (DE-588)4314334-9 gnd rswk-swf Biometrie (DE-588)4124925-2 gnd rswk-swf Merkmalsextraktion (DE-588)4314440-8 gnd rswk-swf Automatische Identifikation (DE-588)4206098-9 gnd rswk-swf Objektverfolgung (DE-588)4311226-2 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Videoüberwachungsanlage (DE-588)7535446-9 s Mehrkamerasystem (DE-588)7519506-9 s Szenenanalyse (DE-588)4435333-9 s Biometrie (DE-588)4124925-2 s Gehen (DE-588)4140871-8 s Merkmalsextraktion (DE-588)4314440-8 s Objekterkennung (DE-588)4314334-9 s Objektverfolgung (DE-588)4311226-2 s Automatische Identifikation (DE-588)4206098-9 s DE-604 DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027067996&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Hofmann, Martin Detection, tracking and gait-based identification of multiple people in videos Szenenanalyse (DE-588)4435333-9 gnd Videoüberwachungsanlage (DE-588)7535446-9 gnd Gehen (DE-588)4140871-8 gnd Mehrkamerasystem (DE-588)7519506-9 gnd Objekterkennung (DE-588)4314334-9 gnd Biometrie (DE-588)4124925-2 gnd Merkmalsextraktion (DE-588)4314440-8 gnd Automatische Identifikation (DE-588)4206098-9 gnd Objektverfolgung (DE-588)4311226-2 gnd |
| subject_GND | (DE-588)4435333-9 (DE-588)7535446-9 (DE-588)4140871-8 (DE-588)7519506-9 (DE-588)4314334-9 (DE-588)4124925-2 (DE-588)4314440-8 (DE-588)4206098-9 (DE-588)4311226-2 (DE-588)4113937-9 |
| title | Detection, tracking and gait-based identification of multiple people in videos |
| title_auth | Detection, tracking and gait-based identification of multiple people in videos |
| title_exact_search | Detection, tracking and gait-based identification of multiple people in videos |
| title_full | Detection, tracking and gait-based identification of multiple people in videos Martin Hofmann |
| title_fullStr | Detection, tracking and gait-based identification of multiple people in videos Martin Hofmann |
| title_full_unstemmed | Detection, tracking and gait-based identification of multiple people in videos Martin Hofmann |
| title_short | Detection, tracking and gait-based identification of multiple people in videos |
| title_sort | detection tracking and gait based identification of multiple people in videos |
| topic | Szenenanalyse (DE-588)4435333-9 gnd Videoüberwachungsanlage (DE-588)7535446-9 gnd Gehen (DE-588)4140871-8 gnd Mehrkamerasystem (DE-588)7519506-9 gnd Objekterkennung (DE-588)4314334-9 gnd Biometrie (DE-588)4124925-2 gnd Merkmalsextraktion (DE-588)4314440-8 gnd Automatische Identifikation (DE-588)4206098-9 gnd Objektverfolgung (DE-588)4311226-2 gnd |
| topic_facet | Szenenanalyse Videoüberwachungsanlage Gehen Mehrkamerasystem Objekterkennung Biometrie Merkmalsextraktion Automatische Identifikation Objektverfolgung Hochschulschrift |
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| work_keys_str_mv | AT hofmannmartin detectiontrackingandgaitbasedidentificationofmultiplepeopleinvideos |