Machine learning for human motion analysis and gesture recognition:
Saved in:
| Main Author: | |
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| Format: | Thesis Book |
| Language: | English |
| Published: |
2012
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| Subjects: | |
| Online Access: | Volltext https://nbn-resolving.org/urn:nbn:de:bvb:91-diss-20120622-1094845-1-5 Inhaltsverzeichnis |
| Physical Description: | X, 151 S. Ill., graph. Darst. |
Staff View
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Record in the Search Index
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|---|---|
| adam_text | IMAGE 1
CONTENTS
I INTRODUCTION 1
1 MOTIVATION 3
1.1 HUMAN MOTION ANALYSIS 3
1.1.1 POSE ESTIMATION 4
1.1.2 ACTIVITY RECOGNITION 5
1.1.3 GESTURE RECOGNITION 6
1.2 INPUT MODALITIES 7
1.2.1 DEPTH CAMERAS 8
1.2.2 INERTIAL SENSORS 10
1.3 MACHINE LEARNING 11
1.4 APPLICATIONS 13
1.4.1 ENTERTAINMENT AND ANIMATION 13
1.4.2 INDUSTRIAL MONITORING AND SURVEILLANCE 14
1.4.3 MEDICAL MOTION ANALYSIS 15
1.4.4 HUMAN-MACHINE INTERACTION 16
2 THESIS OVERVIEW 19
2.1 OBJECTIVES 19
2.2 CONTRIBUTIONS 20
2.3 OUTLINE 20
2.4 NOTATION 21
3 MATHEMATICAL BACKGROUND 23
3.1 REGRESSION 23
3.1.1 KERNEL REGRESSION 23
3.1.2 GAUSSIAN PROCESS REGRESSION 24
3.1.3 OTHER METHODS 27
3.2 DIMENSIONALITY REDUCTION 27
3.2.1 LINEAR METHODS 27
3.2.2 MANIFOLD LEARNING 29
3.2.3 PRACTICAL CONSIDERATIONS 33
VII
HTTP://D-NB.INFO/1029629471
IMAGE 2
VIII CONTENTS
II ACTIVITY RECOGNITION AND P O S E ESTIMATION 39
4 REGRESSION FOR HUMAN MOTION ANALYSIS 41
4.1 INTRODUCTION 41
4.2 RELATED WORK 42
4.3 ACTIVITY RECOGNITION AND POSE ESTIMATION USING INERTIAL SENSORS 43
4.3.1 METHOD OVERVIEW 43
4.3.2 ACTIVITY CLASSIFICATION AND POSE INFERENCE 44
4.3.3 EVALUATION 46
4.4 DISCUSSION 51
5 MANIFOLD LEARNING FOR HUMAN MOTION ANALYSIS 53
5.1 INTRODUCTION 53
5.2 RELATED WORK 55
5.3 GENERATIVE ACTIVITY RECOGNITION AND POSE ESTIMATION FRAMEWORK 57
5.3.1 METHOD OVERVIEW 57
5.3.2 LEARNING LOW-DIMENSIONAL MOTION MODELS 58
5.3.3 BAYESIAN TRACKING USING MULTIPLE MOTION MODELS 61
5.3.4 STATE INFERENCE USING A PARTICLE FILTER 63
5.3.5 ANOMALY DETECTION 64
5.4 USING INERTIAL SENSORS AS INPUT MODALITY 66
5.4.1 EVALUATION 66
5.5 USING DEPTH CAMERAS AS INPUT MODALITY 73
5.5.1 FEATURE EXTRACTION 74
5.5.2 EVALUATION 75
5.6 DISCUSSION 77
6 GRAPH-BASED HUMAN POSE ESTIMATION USING D E P T H D A T A 81
6.1 INTRODUCTION 81
6.2 RELATED WORK 83
6.3 GEODESIES AND OPTICAL FLOW FOR POSE ESTIMATION 84
6.3.1 METHOD OVERVIEW 84
6.3.2 DEPTH IMAGE PREPROCESSING 85
6.3.3 GRAPH CONSTRUCTION FROM DEPTH DATA 87
6.3.4 DEPTH DISAMBIGUATION USING OPTICAL FLOW 88
6.3.5 SKELETON FITTING USING INVERSE KINEMATICS 90
6.3.6 EVALUATION 91
6.4 DISCUSSION 95
III GESTURE RECOGNITION 99
7 GESTURE-BASED INTERACTION IN THE OPERATING R O O M 101
7.1 INTRODUCTION 101
7.2 RELATED WORK 103
7.3 GESTURE RECOGNITION BASED ON MANIFOLD LEARNING 104
IMAGE 3
CONTENTS IX
7.3.1 METHOD OVERVIEW 104
7.3.2 LEARNING GESTURE MANIFOLDS 105
7.3.3 RECOGNIZING AND TRACKING GESTURES 107
7.3.4 EVALUATION 109
7.4 DISCUSSION 112
I V CONCLUSION 115
8 DISCUSSION 117
8.1 SUMMARY 117
8.2 LEARNINGS 119
9 PERSPECTIVES 121
9.1 HUMAN POSE ESTIMATION 121
9.2 PERFORMANCE-BASED CHARACTER ANIMATION 122
9.3 MEDICAL LONG-TERM MOTION ANALYSIS 123
9.4 USER INTERFACES FOR THE OPERATING ROOM 124
V A P P E N D I X 127
A HUMAN B O D Y MODEL 129
A.L DEGREES OF FREEDOM 129
A.2 KINEMATIC CHAINS 129
B MARKER-BASED MOTION CAPTURE 131
B.L SYSTEM OVERVIEW 131
B.2 PERSON-SPECIFIC SKELETON CALIBRATION 132
B.3 INVERSE KINEMATIC SKELETON FITTING 134
C AUTHORED AND CO-AUTHORED PUBLICATIONS 137
BIBLIOGRAPHY 138
|
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| spelling | Schwarz, Loren Arthur Verfasser aut Machine learning for human motion analysis and gesture recognition Loren Arthur Schwarz 2012 X, 151 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier München, Techn. Univ., Diss., 2012 Bewegungsanalyse Technik (DE-588)4302721-0 gnd rswk-swf Bilderkennung (DE-588)4264283-8 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Bewegungsanalyse Technik (DE-588)4302721-0 s Maschinelles Lernen (DE-588)4193754-5 s Bilderkennung (DE-588)4264283-8 s DE-604 Erscheint auch als Online-Ausgabe urn:nbn:de:bvb:91-diss-20120622-1094845-1-5 http://mediatum.ub.tum.de/node?id=1094845 Verlag kostenfrei Volltext https://nbn-resolving.org/urn:nbn:de:bvb:91-diss-20120622-1094845-1-5 Resolving-System DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025196657&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Schwarz, Loren Arthur Machine learning for human motion analysis and gesture recognition Bewegungsanalyse Technik (DE-588)4302721-0 gnd Bilderkennung (DE-588)4264283-8 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| subject_GND | (DE-588)4302721-0 (DE-588)4264283-8 (DE-588)4193754-5 (DE-588)4113937-9 |
| title | Machine learning for human motion analysis and gesture recognition |
| title_auth | Machine learning for human motion analysis and gesture recognition |
| title_exact_search | Machine learning for human motion analysis and gesture recognition |
| title_full | Machine learning for human motion analysis and gesture recognition Loren Arthur Schwarz |
| title_fullStr | Machine learning for human motion analysis and gesture recognition Loren Arthur Schwarz |
| title_full_unstemmed | Machine learning for human motion analysis and gesture recognition Loren Arthur Schwarz |
| title_short | Machine learning for human motion analysis and gesture recognition |
| title_sort | machine learning for human motion analysis and gesture recognition |
| topic | Bewegungsanalyse Technik (DE-588)4302721-0 gnd Bilderkennung (DE-588)4264283-8 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| topic_facet | Bewegungsanalyse Technik Bilderkennung Maschinelles Lernen Hochschulschrift |
| url | http://mediatum.ub.tum.de/node?id=1094845 https://nbn-resolving.org/urn:nbn:de:bvb:91-diss-20120622-1094845-1-5 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025196657&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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