A COMPARISON AND EVALUATION OF MOTION INDEXING ...

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105 41 jump forward 105 42 jump forward 91 39 jump forward 91 40 jump forward 91 41 jump forward 85 09 Motorcycle 138 11 Story 132 42 walk with rotating shoulders 81 06 Push 69 06 walk and turn 40 06 climb sit step over and have walks in between these actions 91 19 march 10 01 Kick Ball 49 06 cartwheel 62 18 opening box 62 19 closing box 64 01 swing 74 07 lifting up 75 13 hopscotch 79 01 chopping wood 79 08 boxing 79 33 chug a beer 79 72 crying 79 95 rowing 82 01 static pose 09 01 run 84
143 25 waiving 143 08 jumping twists 141 17 walk and sit 141 21 shrug 141 22 high five 141 23 shake hands 141 27 mope 139 05 pulling a gun 134 01 duck under 123 01 walk and carry 113 02 bow 113 03 curtsey 113 12 peekaboo 90 08 sideflip 90 34 wide leg roll 88 01 backflip 85
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A COMPARISON AND EVALUATION OF MOTI
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To my mom, dad, brother, friends an
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ABSTRACT A COMPARISON AND EVALUATIO
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TABLE OF CONTENTS ACKNOWLEDGEMENTS
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LIST OF FIGURES Figure Page 1.1 Ske
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CHAPTER 1 INTRODUCTION Animation is
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• Segmentation: The motion captur
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In several applications, like a mod
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provide fast interpolation but do n
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• Frame: Each slice of time of a
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Figure 1.1: Skeleton with bone name
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Figure 1.4: Snapshot of a sample AM
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CHAPTER 2 PCA-BASED TECHNIQUES In t
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The first step in a PCA analysis is
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of dimensions needed to represent t
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The PCA-SVD algorithm finds the val
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where Vr is a matrix with the first
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2. Similarly combine the two segmen
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joints are known for every pose. He
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motion. Figure 3.1: Result of boole
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2. Feature functions describing an
Page 43 and 44: F -equivalent if the corresponding
Page 45 and 46: 3.1.6.1 Inverted File Index Inverte
Page 47 and 48: the same set of exact hits. Figure
Page 49 and 50: CHAPTER 4 DYNAMIC TIME WARPING TECH
Page 51 and 52: Figure 4.1: Result of DTW technique
Page 53 and 54: operator \ to determine the relatio
Page 55 and 56: zmin = ¯z + ¯x ′ · sin(θmin)
Page 57 and 58: CHAPTER 5 EXPERIMENTS AND RESULTS W
Page 59 and 60: 5.2 Indexing Accuracy Testing To ev
Page 61 and 62: Figure 5.3: False positives for PCA
Page 63 and 64: Figure 5.5: False positives for PPC
Page 65 and 66: Figure 5.7: False positives for Fea
Page 67 and 68: Figure 5.9: False positives for DTW
Page 69 and 70: Figure 5.11: False positives for DT
Page 71 and 72: Figure 5.13: False Negatives detect
Page 73 and 74: DTW[18]. DTW matching can also be i
Page 75 and 76: Animation techniques can be broadly
Page 77 and 78: directly modified or manipulated by
Page 79 and 80: B.1 Breif History Human beings are
Page 81 and 82: B.2 Motion Capture Technologies 1.
Page 83 and 84: (b) Active markers: Markers have on
Page 85 and 86: • Capture of movement: Subject we
Page 87 and 88: animation abilities, it can be help
Page 89 and 90: 74 09 127 23 138 19 141 14 75 19 79
Page 91 and 92: 10 04 walk with hands moving more 0
Page 93: 118 05 jump 118 06 jump 118 07 jump
Page 97 and 98: [9] A. J. Hanson, “Visualizing qu
Page 99: BIOGRAPHICAL STATEMENT Harnish Bhat
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A COMPARISON AND EVALUATION OF MOTION INDEXING ...

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