tracking-by-detection

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

Joint Detection and Embedding for fast multi-object tracking

Python implementation of the IOU Tracker

Finger Detection and Tracking using OpenCV and Python

Multiple object tracking (MOT) algorithm implemented in C++

Library for tracking-by-detection multi object tracking implemented in python

Joint detection and tracking model named DEFT, or ``Detection Embeddings for Tracking." Our approach relies on an appearance-based object matching network jointly-learned with an underlying object detection network. An LSTM is also added to capture motion constraints.

Unified tracking framework with a single appearance model. It supports Single Object Tracking (SOT), Video Object Segmentation (VOS), Multi-Object Tracking (MOT), Multi-Object Tracking and Segmentation (MOTS), Pose Tracking, Video Instance Segmentation (VIS), and class-agnostic MOT (e.g. TAO dataset).

Cascade-RCNN+DeepSort MOTDT Trackor++

Optical Flow Dataset and Benchmark for Visual Crowd Analysis

Temporally Identity-Aware SSD with Attentional LSTM

Object tracking with OpenCV in open field behavioral test (overhead view maze)

Visual Tracking by TridenAlign and Context Embedding

TensorRT person tracking RFBNet300

Collection of papers, code, notebooks, datasets and other resources for Multi Object Tracking (Vehicle tracking, Pedestrian tracking) | Google colab

This repository includes a C/C++ Implementation of the GMPHD-OGM tracker with a demo code.

ODAM - Object detection and Monitoring

A Python implementation of "Exploiting the Circulant Structure of Tracking-by-Detection with Kernels"

ROS package for Detection and Tracking of Multiple Objects (DATMO), code of my master's thesis "Prediction of Objects' Motion in the Vicinity of Robot".

Where all the state-of-the-art computer vision Algorithms meet

🔭 A TensorFlow-Lite powered tracking rover.

AL 4 Tracking

Simple Online Realtime Multi-object detection and tracking on mobile device of iOS

We are working on Object detection and extraction from Surveillance Camera Footage.After extracting the object of our interest , we want to compare their their Normalized color Histograms using Chi Square Method. Implementation of various Tracking Methods

deep sort with yolov3. Modify darknet based yolov3 to pytorch based yolov3.

Digit recognition in live video frame using OpenCV and Convolutional Neural Network

Using trackbar / Calibration to get HSV object.

A "helper" to the surviv.io game, using machine learning

Zebrafish tracking made simple.