Fast visual tracking via dense spatio-temporal context learning

Keyphrases

• Fast Fourier Transform 100%
• Visual Tracking 100%
• Spatio-temporal Context Learning 100%
• State-of-the-art Techniques 50%
• Adaptive Adjustment 50%
• Fast Algorithm 50%
• Tracker 50%
• Robust Algorithm 50%
• Image Position 50%
• Statistical Correlation 50%
• Low-level Features 50%
• Scale Variation 50%
• Scale Adaptation 50%
• Frames per Second 50%
• Bayesian Framework 50%
• Image Intensity 50%
• Confidence Map 50%
• Fast Learning 50%
• Object of Interest 50%
• Spatio-temporal Context 50%
• Location Ambiguity 50%
• Code Optimization 50%
• Fast Detection 50%
• Matrix Laboratory (MATLAB) 50%
• Spatiotemporal Relationship 50%
• Tracking Problem 50%
• Locally Dense 50%

Computer Science

• Fast Fourier Transform 100%
• Target Location 100%
• Temporal Context 100%
• Optical Tracking 100%
• Temporal Relationship 50%
• Surrounding Region 50%
• Code Optimization 50%
• Experimental Result 50%
• Bayesian Framework 50%
• Image Intensity 50%