tracking-algorithm

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

YOLOv7 Object Tracking Using PyTorch, OpenCV and Sort Tracking

People detection and optional tracking with Tensorflow backend.

Object detection and tracking algorithm implemented for Real-Time video streams and static images.

Bayesian multi-object tracking

License Plate Detection using YOLOv8

SDK for running DeepLabCut on a live video stream

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.

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

A modular end-to-end tracking framework for research and development

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.

[ZJU Robotics Project] DWA and Astar algorithms for wheeled-robot planning

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

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.

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.

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

Python package designed for collecting and processing trajectory data.