DeepSORT[1] integrates appearance information to improve the performance of SORT, learned a deep association metric. There are some details of reading and implementing it.

SORT[1] is pragmatic approach for online and realtime applications. It achieves SOTA with using Kalman filter and Hungarian algorithm. There are some details of reading and implementing it.

FairMOT[1] is a one-shot tracker to fuse object detection and re-identification in a single network. The most contributions in this papar are anchor-free Re-ID feture extraction, multi-layer feature aggregation and lower-dimensional re-ID fetures. There are some details of reading and implementing it.

Tracklet[1] is a novel method for optimizing tracklet consistency, which directly takes the prediction errors into account. There are some details of reading and implementing it.

FFT(Flow-Fuse Tracker)[1] is an end-to-end DNN tracking approach, that jointly learns both target motions and associations for MOT(multiple object tracking). There are some details of reading and implementing it.

JRMOT[1] is a novel 3D MOT system that integrates information from 2D RGB images and 3D point clouds into a real-time performing framework. There are some details of reading and implementing it.

Tracktor[1] is used to detect objects from videos in each frame, while forming tracks by linking corresponding detections across time. There are some details of reading and implementing it.