The Robotics Institute
Carnegie Mellon Robotics Institute
Carnegie Mellon Robotics Institute
Projects
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3D Head Motion Recovery in Real Time A cylindrical model-based algorithm recovers the full motion (3D rotations and 3D translations) of the head in real time. |
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Event Detection in Videos Our event detection method can detect a wide range of actions in video by correlating spatio-temporal shapes to over-segmented videos without background subtraction. |
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Frontal Face Alignment This face alignment method detects generic frontal faces with large appearance variations and 2D pose changes and identifies detailed facial structures in images. |
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Hand Tracking and 3-D Pose Estimation A 2-D and 3-D model-based tracking method can track a human hand rapidly moving and deformed on complicated backgrounds and recover its 3-D pose parameters. |
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Multi-People Tracking Our multi-people tracking method can automatically initialize and terminate paths of people and follow multiple and changeable number of people on cluttered scenes over long time intervals. |
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Multi-view Car Detection and Registration This method can detect cars with occlusions and varying viewpoints from a single still images by using multi-class boosting algorithm. |
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Real-time Face Detection A face detection system has an accurate detection rate and real time performance by using an ensemble of weak classifiers. |
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Software Package for Precise Camera Calibration A novel camera calibration method can increases not only an accuracy of intrinsic camera parameters but also an accuracy of stereo camera calibration by utilizing a single framework for square, circle, and ring planar calibration patterns. |
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Spatio-Temporal Facial Expression Segmentation A two-step approach temporally segment facial gestures from video sequences. It can register the rigid and non-rigid motion of the face. |
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