I. INTRODUCTION

II. CORRELATION FILTER-BASED TRACKING FRAMEWORK

III. TRAINING SCHEMES FOR CORRELATION FILTERS
A. Traditional Training Methods
B. Adaptive Correlation Filters
C. Kernelized Correlation Filters
D. Dense Spatio-Temporal Context Tracker
E. Updating Scheme
F. Comparisons of Different Training Schemes

IV. FURTHER IMPROVEMENTS
A. Feature Representation
B. Handling Scale Variations
C. Part-based Tracking

V. EXPERIMENTS
A. Experiment Setup
B. Quantitative Evaluation
C. Qualitative Evaluation

VI. CONCLUSION