This paper proposes a new method of extracting and tracking

a nonrigid object moving while allowing camera movement. For object

extraction we first detect an object using watershed segmentation

technique and then extract its contour points by approximating the

boundary using the idea of feature point weighting. For object tracking

we take the contour to estimate its motion in the next fr a me by the

maximum likelihood method. The position of the object is estimated using

a probabilistic Hausdorff measurement while the shape variation is

modelled using a modified active contour model. The proposed method is

highly tolerant to occlusion. Because the tracking result is stable unless

an object is fully occluded during tracking, the proposed method can be

applied to various applications.