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Human Identification at a Distance (HumanID)
Head: Takeo Kanade
Contact: Takeo Kanade
Mailing address:
Carnegie Mellon University
Robotics Institute
5000 Forbes Avenue
Pittsburgh, PA 15213

Lab Location: EDSH 101
Lab Telephone: (412) 268 3127
Associated center(s) / consortia:
 Vision and Autonomous Systems Center (VASC)
Overview
We, in collaboration with the CMRI Electro-Optics Technology Group, are developing and evaluating human identification technologies as part of the Defense Advanced Research Projects Agency (DARPA) sponsored program in Human Identification at a Distance (HumanID). Our efforts can be roughly divided into the following categories:

Static and Dynamic Body Biometrics

We are developing algorithms for the use of 3D space-time body biometrics for human identification. Our research focuses on two main issues: (1) the extraction of body biometric features from video and (2) identifying subjects from the extracted body biometric features.

Face Recognition From Video

We are developing face recognition algorithms that take full advantage of the additional information contained in video imagery.

Human Identification From Expression

We are investigating the extent to which facial expression impacts upon existing face recognition algorithms, and also the extent to which facial expressions and other spatio-temporal information can be used to identfy people.

Hyperspectral Imagery

We are invesitgating the information content of hyperspectral and polarimetric imagery for human identification.

Database Collection

We are collecting a number of databases to aid in the evaluation of human identification algorithms. In particular, we are collecting databases of: (1) synchronized multi-camera video sequences of body motion, (2) human faces under a wide range of imaging conditions, (3) AU coded expression videos, and (4) hyperspectal and polarimetric images of human faces.