Lightweight Python library for adding real-time 2D object tracking to any detector.

People detection and optional tracking with Tensorflow backend.

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

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.

Add attention blocks such as cbam, se. Add deep sort, sort and some tracking algorithm using opencv

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

C++ Implementation of IOU Tracker presented in AVSS17

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

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.

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

Paper collection of rgb-infrared tracking algorithms.

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

An easy-to-use tool for evaluating tracking algorithms on many different benchmarks like OTB and Temple-Color

Object detection using Tensorflow Object Detection API and tracking using Kalman-filtering

Worked on tracking and detection of vehicles in a real time scenario.Work included feature extraction and data manipulation of vehicles by assigning them a unique ID and store / write various information such as time stamp ,area , aspect ratio into a file. Used various tracking algorithms such as blob analysis, MOG back-ground substraction, haar cascading etc.

A simple particle tracking algorithm for MATLAB that can deal with gaps.

Recent methods in general object tracking.

Object based tracking for model, radar and any other kind data

Object tracking using alpha-beta algorithm and Hungarian algorithm

an overlap based cell-tracker based on Chalfoun et al, Nat. Sci. Rep. 2016

Hand tracking with augmented reality using OpenCV and OpenGL

Polar mesoscale cyclone (PMC) tracking algorithm

A repo for participating in argoai tracking test

3D fish tracker using OpenCV and Intel RealSense