3D tracking library for human heads based on FLAME (a 3D morphable head model). The tracking algorithm is inspired by face2face. It determines FLAMEs shape and texture parameters as well as spherical harmonics lights and camera intrinsics for a video sequence.

Python-Gaze-Face-Tracker is a Python-based application designed for advanced real-time eye tracking, facial landmark detection, and head position (orientation) estimator and gaze estimation using OpenCV and MediaPipe technology.

A photometric optimization pipeline based on differentiable mesh rasterization, applied to human head alignment. A perturbation mechanism that implicitly extract and inject regional appearance priors adaptively during rendering, enabling alignment of regions purely based on their appearance consistency, such as the hair, ears, neck, and ...

Aug 11, 2023 · Good day, I am finding it difficult to recognize the head movement of a person using openCV, I have done a project that detects the face and eyes using haarcascade classifier, but unable to track the head movement say head moves left, right, up or down movement. here is my code. ret,frame = webcam.read() frameRGB = frame[:, :, ::-1]

Feb 2, 2019 · I developed a small application for the Head Tracking which will be used on the robot. The application is developed in Python and using TkInter for the GUI. The software is using the standard Face Detection from OpenCV.

Sep 22, 2023 · At its core, head pose estimation is the process of determining the orientation of a person’s head in three-dimensional space relative to a camera. This seemingly simple task has profound...

This is the documentation for a Python script used for tracking head mounted LEDs. Primarliy using the OpenCV library, the script takes in multiiple .mpg video files and outputs a single annotated .mp4 video file as well as a .csv file containing the …

This is a head tracking model which utilizes YOLOv7 to detect the head and Omni Scale Model for Person Reidentification features for tracking the human heads in a video. Implemented using and How to Run the Model?

Apr 3, 2025 · Implementation in Python. To implement HOG features for head tracking, you can use the skimage library in Python. Below is a sample code snippet demonstrating how to extract HOG features from an image:

Jun 14, 2021 · Written in Python, using OpenCV for image manipulation, Mediapipe for face tracking, and Pygame and OpenGL for 3D rendering. Face tracking works at a wide range of distances, from a few inches to at least 6 feet away, and at angles you probably wouldn't use a …