Tracking with active contours using dynamically updated shape information
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
An active contour based tracking framework is described that generates and integrates dynamic shape information without having to learn a priori shape constraints. This dynamic shape information is combined with dynamic photometric foreground model matching and background mismatching. Boundary based optical flow is also used to estimate the location of the object in each new frame, incorporating Procrustes shape alignment. Promising results under complex deformations of shape, varied levels of noise, and close-to-complete occlusion in complex textured backgrounds are presented.
|Title of host publication||Proceedings of the British Machine Vision Conference 2008 (Leeds, September 2008)|
|Editors||Mark Everingham, Chris James Needham, Roberto Fraile|
|Publisher||British Machine Vision Association|
|Publication status||Published - 2008|
Accepted author manuscript (Post-print), 2.17 MB, PDF document