Carnegie Mellon University
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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
Past Projects [Current 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.
AAM Fitting Algorithms
Many varieties of algorithms for fitting Cootes and Taylor's "Active Appearance Models" are developed.
AAMs with Occlusion
We are developing algorithms to construct AAMs from occluded training images and to efficiently fit AAMs to faces containing occlusion.
Camera Assisted Meeting Event Observer
We are developing the Camera Assisted Meeting Event Observer (CAMEO) - a sensory system designed to provide an electronic agent with physical awareness of the real world.
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.
Lucas-Kanade 20 Years On
A Unifying Framework for Image Alginment
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.
PIE Database
A database of 41,368 images of 68 people with Pose, Illumination, and Expression variation.
Real-time Face Detection
A face detection system has an accurate detection rate and real time performance by using an ensemble of weak classifiers.
Video Surveillance and Monitoring
cooperative multi-sensor military surveillance system