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PyCV is a Python package of modules useful for computer vision tasks. Its current focus is on boosting techniques, Haar-like features, and face detection. PyCV provides the world's fastest method for training a face detector, in a few hours.
Active Shape/Appearance Model Library (ASMLibrary/AAMLibrary) source code, which includes ASMBuilding/AAMBuilding as well as ASMFitting/AAMFitting algorithm. It is developped under OpenCV 1.0 for locating features in a face and face recognition.
A face tracking system for user interface control and development.
This software is designed to determine face position and orientation in real time using an inexpensive webcam, allowing navigation of a GUI using head movement.
MPT is a toolbox that supplies cross-platform libraries
for real-time perception primitives, including face detection, eye detection,
blink detection, and color tracking.
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FaceTracker is a webcam-based system for the recognition of face movement around various angles as well as translation of the face. It is intended to be used under Linux OS. Currently, pan angles can be detected up to 45 degrees.
The Human Body Project allows computers to better understand and interact with people. Using a webcam the system can detect and recognise individuals (face recognition), identify their gaze direction, facial expressions and upper body postures.