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.
|Translated title of the contribution||Tracking with Active Contours Using Dynamically Updated Shape Information|
|Title of host publication||British Machine Vision Conference 2008|
|Publication status||Published - 2008|
Bibliographical noteOther page information: 253-262
Conference Proceedings/Title of Journal: British Machine Vision Conference 2008
Other identifier: 2000932