Online learning of multi-feature weights for robust object tracking

Keyphrases

• Application Weight 33%
• Basis Vectors 33%
• Computational Complexity 33%
• Decision Fusion 33%
• Discriminative Ability 33%
• Feature Representation 33%
• Feature Weight 100%
• Fusion Criteria 33%
• General Applicability 33%
• L1-regularized Least Squares 33%
• Learning Scheme 33%
• Multi-feature 100%
• Object Tracking 100%
• Online Learning 100%
• Poor Insight 33%
• Regularized Least Squares Method 33%
• Representation Model 33%
• Robust Object Tracking 100%
• Sparse Representation 33%
• Sparse Representation Classifier 33%
• Square Norm 33%
• Superior Accuracy 33%
• Time Application 33%
• Tracker 33%
• Tracking Applications 33%
• Video Sequences 33%
• Visual Information 33%
• Weighted Combination 33%

Computer Science

• Computational Complexity 20%
• Learning Scheme 20%
• Least Squares Method 40%
• Online Learning 100%
• Real-Time Application 20%
• Representation Model 20%
• Sparse Representation 40%
• Tracking Object 100%
• Video Sequences 20%
• Visual Informations 20%

Engineering

• Basis Vector 50%
• Computational Complexity 50%
• Decision Fusion 50%
• Learning Scheme 50%
• Least Square 100%
• Square Method 50%