1 Introduction

2 MOT: algorithms, metrics and datasets  
2.1 Introduction to MOT algorithms  
2.2 Metrics  
2.3 Benchmark datasets

3 Deep learning in MOT  
3.1 DL in detection step  
3.2 DL in feature extraction and motion prediction  
3.3 DL in affinity computation  
3.4 DL in Association/Tracking step  
3.5 Other uses of DL in MOT

4 Analysis and comparisons  
4.1 Setup and organization  
4.2 Discussion of the results  

5 Conclusion and future directions