Real Time Head Pose Estimation

Real time head pose estimation from an uncalibrated monocular camera.
University of Malta - Department of Systems and Control Engineering
Code available at: https://sites.google.com/site/mikesapi/research

Category:

Science & Technology

Tags:

• detection
• tracking
• head
• pose
• orientation
• estimation
• real time
• game
• shooting
• cursor control
• computer vision
• human computer interaction
• OPENCV

[mikesapi]

Haar feature detection is used for automatic initialisation, after which the detected face features are tracked using NSSD.

If you send me your email address, I will let you know when the source is released, thanks.

[kosomonova]

@mikesapi I see. Thanks for the quick reply. I'm doing something similar myself in college.

So you're using template matching? How does it perform with scaling? E.g. you initialise the templates of the eyes at a certain distance from the camera and then during the tracking you move away from the camera?

Email address PMed.

[mikesapi]

@kosomonova This kind of template matching worked sufficiently well for this application, in which the user is seated, facing a webcam and does not 'scale' much from the initialized position. If you need robustness to scale, you may search for templates at various scales and transformations. Another option is to allow the system to reinitialize automatically/dynamically update the templates..

[kosomonova]

Hi,

Just wondering how you're detecting the features here? Are you running a Haar detector on each frame?

Also, is there source code or an executable for this available anywhere?

[owenmalta]

Great job!