Ben Garrett: (4) Segmentation by background subtraction and tracking

Nilesh Ghubade: (3) Background learning

Ken Gorman: (5) Background learning using mixture of Gaussian Models

Roland Miezianko: (6) Computing point correspondence and mosaics

Vneugopal Rajagopal: (7) SHOSLIF

Sameer Raste (1) Eigenbackground and tracking with Kalman filter

Wan Wang: (2) Optical flow ant tracking

Xinzhen Wang: (8) Shape matching

Xiangdong Wen: (2) Optical flow ant tracking

Vivek (1) Eigenbackground and tracking with Kalman filter

1) Segmentation by eigenbackground subtraction (Oliver at al.)

1) Tracking of segmented objects using Kalman filter (Oliver at al., Le Roux, Welch and Bishop)

2) Optical flow (link)

2) Tracking using optical flow (Polano and Melson IEEE, ICPR)

3) Segmentation by background subtraction and tracking in W^4 (Haritaoglu et al.)

4) Segmentation by background subtraction and tracking  (Wren et al.)

5) Background learning using mixture of Gaussian Models (Stauffer and Grimson)

6) Computing point correspondence and mosaics

7) SHOSLIF - Self Organizing Hierarchical Optimal Subspace Learning and Interference Framework

8) Shape matching