luanshiyinyang/awesome-multiple-object-tracking

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

Visual Tracking Paper List

Trackers gives you clean, modular re-implementations of leading multi-object tracking algorithms released under the permissive Apache 2.0 license. You combine them with any detection model you already use.

BoxMOT: Pluggable Python and C++ SOTA multi-object tracking modules with support for axis-aligned and oriented bounding boxes

Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.

Tracking Any Point (TAP)

A selection of state-of-the-art research materials on trajectory prediction

Lightweight Python library for adding real-time multi-object tracking to any detector.