Understanding Ar Drone Face Tracking
Let's dive into the details surrounding Ar Drone Face Tracking. Quadcopter programmed to detect and follow a
Key Takeaways about Ar Drone Face Tracking
- Final project for EE149 - Embedded Systems, Spring 2012 UC Berkeley.
- EZ-Robot now supports the
- Face pose detection and estimation using multi-view Haar face detectors from OpenCV and Kalman filter for
- Face Recognition
- Thanks to Professor Simon Levy's scripts http://home.wlu.edu/~levys/software/ardrone_autopylot/ and
Detailed Analysis of Ar Drone Face Tracking
This is one of the projects that we are working on in the Robust Systems Laboratory in Northeastern University, Boston, MA, USA. Ar Drone Project for NMNT course at the Media Technology program of Leiden University. A Parrot
The system is implemented on the platform of the Microsoft Visual Studio 2010 with the OpenCV 243 and
That wraps up our extensive overview of Ar Drone Face Tracking.