CURRENT RESEARCH INTERESTS


Interactive Toys/Robots

Objectives:
o Develop visually-enabled interactive toys and robots, see VTOY: SIGGRAPH 2000 Emerging Technologies Demo

o SimonBot: An interactive robot plays Simon Says with Kids. Summer 2005.


Represention and Analysis of Human Hair

(see Yacoob and Davis, 2005).
Objectives:
o Detection of facial and head hair.
o Modeling attributes of hair.
o Biometric use of hair for verification and human recognition.


Visual Analysis of the Hand in Augmented Reality Systems

(see A. Sepehari, Y. Yacoob and L. Davis, 2005)
Objectives:
o Develop visual interfaces for wearable computers (typing on virtual keyboard, writing on virtual boards, virtual drawing, 3D hand-based scanning of objects)
o Develop visual analysis tools for collaborative augmented reality scenarios.


Motion Analysis in Video Sequences

Objective:
Develop spatio-temporal models for measurement of image change (mainly image motion) in video sequences (see relevant publications ).

o Shadow Detection and Recognition in Motion Sequences

o Linear models for motion analysis (see Fleet, Black, Yacoob and Jepson 2000)

o Appearance change in motion sequences (see Black Fleet, and Yacoob 2000)

o Tracking rigid objects by compactness (see Yacoob and Davis, 1999b). Video Clips

o Estimation of composite object and camera image motions (see Yacoob and Davis, 1999a and Yacoob and Davis, 2000). Video Clips

o Learned temporal models of image motion (see Yacoob and Davis, 1998).

o General models of image change (see Black, Fleet and Yacoob, 1998).

o Multi-frame Flow Estimation (see Yacoob and Davis, 1997 and Yacoob and Davis, 1999 ).

o Learned Spatial models of image motion (see Black, Yacoob, Jepson and Fleet, 1997).



Tracking Deformable and Articulated Objects Motion

Objective:
Develop models for tracking rigid, deformable and articulated objects motion in video sequences (see relevant publications) .

o Simultaneous tracking and estimation of camera and human motion (see Yacoob and Davis, 2000).

o Model-based tracking of motion (see Yacoob and Davis, 1998).

o Articulated motion tracking (see Ju, Black and Yacoob, 1996 ).

o Deformable motion tracking (see Black and Yacoob, 1995 ).



Understanding Human Motion in Video Sequences

Objective:
Develop representation, estimation and recognition models that enable computer understanding of human actions and behavior (see relevant publications) .

o Video clips on modeling and recognition of human activities from Parameterized Modeling and Recognition of Activities ICCV-98.

o Video clips clip for recognizing facial expressions using parameterized flow (MPEG, 1.0MB) from Tracking and Recognizing Rigid and Non-Rigid Facial Motions using Local Parametric Models of Image Motions, ICCV 1995, IJCV 1997 .

o A video clip for recognizing facial expressions (MPEG, 1.9MB) from Computing Spatio-Temporal Representations of Human Faces, CVPR 94.

o Estimating head orientation (see here and Horprasert, Yacoob, and Davis, International Conference on Face and Gesture Recognition, 1996, 242-247. ).

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