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.

TSDM[1] is a RGB-D tracker which use depth information to pretreatment and fuse information to pro-processing. It is composed of a Mask-generator(M-g), SiamRPN++ and a Depth-refiner(D-r). There are some details of reading and implementing it.

SiamRPN++[1] is a novel Siamese network based tracker to adopt deep networks that broke strict translation invariance. It performs layer-wise and depth-wise aggregations to successfully trained a ResNet-driven Siamese tracker. 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.

Pose-Assisted Multi-Camera Collaboration System[1] is a novel method, which enables a camera to cooperate with the others by sharing camera poses for AOT(active object tracking). There are some details of reading and implementing it.

GlobalTrack[1] is a pure global tracker for long-term tracking, without temporal consistency assumption making cumulative errors. There are some details of reading and implementing it.