tracking-algorithm

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

People detection and optional tracking with Tensorflow backend.

YOLOv7 Object Tracking Using PyTorch, OpenCV and Sort Tracking

A multi-object tracking component. Works in the conditions where identification and classical object trackers don't (e.g. shaky/unstable camera footage, occlusions, motion blur, covered faces, etc.). Works on any object despite their nature.

Bayesian multi-object tracking

Replication of MOT project - DeepSort with attention blocks.

This is the code base for our ACM CSCS 2019 paper: "RobustTP: End-to-End Trajectory Prediction for Heterogeneous Road-Agents in Dense Traffic with Noisy Sensor Inputs". This codebase contains implementations for several trajectory prediction methods including Social-GAN and TraPHic.

SDK for running DeepLabCut on a live video stream

Lane and obstacle detection for active assistance during driving. Uses windowed sweep for lane detection. Combination of object tracking and YOLO for obstacles. Determines lane change, relative velocity and time to collision

In this repository I will give some implementation of single and multiple object tracking algorithms. These include meanShift, CamShift, Boosting, MIL, KCF, TLD , GoTurn, and MedianFlow. Additionally I will show you how to grab frames at a very high FPS from camera and videos.

A Low-cost Open-source High-speed Multi-camera Motion Capture System.

Mastodon – a large-scale tracking and track-editing framework for large, multi-view images.

An implementation of several tracking algorithms based on Lucas Kanade algorithms

This shows a basic implementation of the global nearest neighbour (GNN) multi target Tracker. Kalman filter is used for Tracking and Auction Algorithm for determining the assignment of measurments to filters.

Paper collection of rgb-infrared tracking algorithms.

C++ Implementation of IOU Tracker presented in AVSS17

Implementation of Lucas Kanade Tracking system using six parameter affine model and recursive Gauss-Newton process.

Python package designed for collecting and processing trajectory data.

Towards More Flexible and Accurate Object Tracking with Natural Language: Algorithms and Benchmark (CVPR 2021)