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|Title:||Rule-driven object tracking in clutter and partial occlusion with model-based snakes||Authors:||Tsechpenakis, Gabriel
Kollias, Stefanos D.
Object partial occlusion
|Issue Date:||2004||Publisher:||Hindawi Publishing Corporation||Source:||EURASIP Journal on Applied Signal Processing, Vol. 2004, no. 1, 2004, pp. 841-860||Abstract:||In the last few years it has been made clear to the research community that further improvements in classic approaches for solving low-level computer vision and image/video understanding tasks are difficult to obtain. New approaches started evolving, employing knowledge-based processing, though transforming a priori knowledge to low-level models and rules are far from being straightforward. In this paper, we examine one of the most popular active contour models, snakes, and propose a snake model, modifying terms and introducing a model-based one that eliminates basic problems through the usage of prior shape knowledge in the model. A probabilistic rule-driven utilization of the proposed model follows, being able to handle (or cope with) objects of different shapes, contour complexities and motions; different environments, indoor and outdoor; cluttered sequences; and cases where background is complex (not smooth) and when moving objects get partially occluded. The proposed method has been tested in a variety of sequences and the experimental results verify its efficiency.||URI:||http://ktisis.cut.ac.cy/handle/10488/99||ISSN:||1110-8657||DOI:||10.1155/S1110865704401103||Rights:||Hindawi Publishing Corporation|
|Appears in Collections:||Άρθρα/Articles|
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