This repository is the official implementation of HeadHunter-T, the head tracker discussed in the CVPR paper, mentioned herewith.

[IEEE Access - 2022] LMOT : Efficient Light-Weight Detection and Tracking in Crowds

Yolo-v3 and SORT(kalman filter) based pedestrian detector and tracker

https://www.youtube.com/watch?v=1X-xxgN4n8M&t=10s

This project shows the implementation of tracking algorithms like SORT and Deep SORT from scratch. The project aims to assist emergency responders in assessing the number of people at a disaster site and tracking their movements for rescue operations, especially in situations where they are being carried away by floodwaters.

تتبّع الكائنات المتعدّدة في مقطع فيديو

Deepsort with yolov8 detector.

Track & Count Objects and Speed Estimation using YOLOv8 ByteTrack & Supervision

A Multi object detection and tracking with yolov7 inference.

A mini-project of Computer Vision application

This is a basic project to demonstrate a face detection and tracking system using python and opencv on a jetson nano developement board.

Object tracking is a deep learning process where the algorithm tracks the movement of an object. In other words, it is the task of estimating or predicting the positions and other relevant information of moving objects in a video. Object tracking usually involves the process of object detection.

I focused on Object Tracking and did some implementations. I observed the stages of tracking an object.

Scalable Health Care