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People Image Analysis Consortium (PIA)
Head: Takeo Kanade
Contact: Jun-Su Jang
Associated center(s) / consortia:
 Vision and Autonomous Systems Center (VASC)
Lab Homepage
Current Projects [Past Projects]
 
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.
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.
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.
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.
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.
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.
Real-time Face Detection
A face detection system has an accurate detection rate and real time performance by using an ensemble of weak classifiers.
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.
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.