Extracting moving shapes by evidence gathering

Many approaches can track objects moving in sequences of images but can su er in occlusion and noise, and often require initialisation. These factors can be handled by techniques that extract objects from image sequences, especially when phrased in terms of evidence gathering. Since the template approach is proven for arbitrary shapes, we re-deploy it for moving arbitrary shapes, but in a way aimed to avoid discretisation problems. In this way, the discrete mapping operation is deferred as far as possible, by using continuous shape descriptions. A further advantage is reduction in computational demand, as seen in use of templates for shape extraction. This prior speci

• Type: Journal
• Year: 2002
• Where: PR
• Authors: Michael G. Grant, Mark S. Nixon, Paul H. Lewis
• Keywords: Arbitrary Shapes, Parametric Model, PR 2002, Shape Description