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Human Gesture Recognition with Depth Camera
Bin Liang
Research output
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Thesis
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Doctoral Thesis
110
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Dive into the research topics of 'Human Gesture Recognition with Depth Camera'. Together they form a unique fingerprint.
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Keyphrases
Gesture Recognition
100%
Human Gesture Recognition
100%
Depth Camera
100%
Body Parts
42%
Depth Motion
42%
Depth Map
42%
Latent Correlation
42%
Motion History
42%
Gesture Representation
42%
Fusion Scheme
42%
Human Gesture
28%
Pyramid Histogram of Oriented Gradients
28%
Cuboid
28%
Spatio-temporal Pyramid
28%
Multimodal Fusion
28%
Part-based
28%
Learning Approaches
14%
Computer Vision
14%
Structural Information
14%
Human-computer Interaction
14%
Superior Performance
14%
Video Surveillance
14%
Temporal Aspects
14%
Human Body
14%
Relative Strength
14%
Motion Information
14%
Anthropometry
14%
Smart Home
14%
Individual Style
14%
Spatial Aspect
14%
Dictionary
14%
Motion Sensing
14%
Part Feature
14%
Sub-dictionary
14%
Robust Performance
14%
Correlation Learning
14%
Depth Video
14%
Fusion Method
14%
Correlation Discovery
14%
Skeleton Representation
14%
Motion Analysis
14%
Recognition Benchmark
14%
Latent Information
14%
Effective Depth
14%
Gaming Video
14%
Pyramid Levels
14%
Motion Gestures
14%
Method Correlation
14%
Pyramid Matching
14%
Semantic Representation
14%
Classifier Fusion
14%
Spatio-temporal Structure
14%
Stable Performance
14%
Skeleton Joints
14%
Skeleton Features
14%
3D Spatial Information
14%
Learning Classifiers
14%
Dictionary Learning
14%
View-specific
14%
Weight Learning
14%
Method Sensitivity
14%
Variation Types
14%
Multimodal Semantics
14%
Fusion Gain
14%
Computer Science
Gesture Recognition
100%
Level Classifier
22%
histogram of oriented gradient
22%
Motion Information
11%
Human Computer Interaction
11%
Video Surveillance
11%
Superior Performance
11%
Dictionary Learning
11%
Level Representation
11%
Motion Analysis
11%
Learning Approach
11%
Spatial Information
11%
Relative Strength
11%
Semantic Representation
11%
Computer Vision
11%