1. Introduction

2. Related Work

3. Transformer
3.1. Self-Attention
3.2. Multi-Head Self-Attention
3.3. Vision Transformer (ViT)

4. Transformer in Single Object Tracking
4.1. CNN-Transformer based Trackers
4.2. Fully-Transformer Based Trackers

5. Experimental Analysis
5.1. Benchmark Datasets and Evaluation Metrics
5.2. Tracking Performance Analysis
5.3. Tracking Efficiency Analysis

6. Discussions
6.1. Summary of Findings
6.2. Future Directions of Transformer Tracking

7. Conclusion