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++

Optical Flow Dataset and Benchmark for Visual Crowd Analysis

Temporally Identity-Aware SSD with Attentional LSTM

Cascade-RCNN+DeepSort MOTDT Trackor++

Object tracking with OpenCV in open field behavioral test

TensorRT person tracking RFBNet300

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

Visual Tracking by TridenAlign and Context Embedding

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

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

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".

🔭 A TensorFlow-Lite powered tracking rover.

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

AL 4 Tracking

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

Using trackbar / Calibration to get HSV object.

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

This is a code for Segmentation and Tracking algorithm which can be used for noisy, low-resolution images where the objects of interest are relatively small and scattered throughout the frame.

Scripts focused on Object Detection and Tracking

Using trackbar / Calibration to get HSV object.

Detects the objects in a video and tracks them while maintaining a unique ID for each of them, until it is present in the scene.

Tracking software to track the robots from SSL Vision software in the Robocup SSL. Publishes robot position and velocity information as ROS odom messages.

Udacity Computer Vision Nanodegree - Landmark Detection and Tracking Project