Human action recognition using shape and CLG-motion flow from multi-view image sequences

Keyphrases

• Image Sequence 100%
• Global-local 100%
• Motion Flow 100%
• Multi-view Images 100%
• Human Action Recognition 100%
• Global Motion 100%
• Flow Features 100%
• Optical Flow 66%
• Human Action 66%
• Maximum Likelihood Estimation 33%
• Feature Vector 33%
• Outdoor Environment 33%
• Global Shape 33%
• Feature Combination 33%
• Flow Information 33%
• Phase Variation 33%
• Indoor Environment 33%
• View-invariant 33%
• Spatial-temporal 33%
• Daily Life 33%
• Action Recognition 33%
• Action Phases 33%
• Invariant Moments 33%
• Estimation Approaches 33%
• Variation Analysis 33%
• Phase-invariant 33%
• Invariant Operations 33%
• Action Boundary 33%
• Combined Motion 33%
• Invariance Analysis 33%
• Flow Deviation 33%
• Scale Variation 33%

Computer Science

• Image Sequence 100%
• human action recognition 100%
• Feature Vector 33%
• maximum-likelihood 33%
• Flow Information 33%
• Likelihood Estimation 33%
• Action Recognition 33%