Understanding Face Tracking Ar Drone
Let's dive into the details surrounding Face Tracking Ar Drone. This is one of the projects that we are working on in the Robust Systems Laboratory in Northeastern University, Boston, MA, USA.
Key Takeaways about Face Tracking Ar Drone
- Face Recognition
- Final project for EE149 - Embedded Systems, Spring 2012 UC Berkeley.
- The system is implemented on the platform of the Microsoft Visual Studio 2010 with the OpenCV 243 and
- face detection
- Quadcopter programmed to detect and follow a
Detailed Analysis of Face Tracking Ar Drone
In this study we propose the use of hand gestures and Face Recognition Drone Face pose detection and estimation using multi-view Haar face detectors from OpenCV and Kalman filter for
Made an app to control my
That wraps up our extensive overview of Face Tracking Ar Drone.