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https://hdl.handle.net/20.500.14279/1957
Τίτλος: | Rule-driven object tracking in clutter and partial occlusion with model-based snakes | Συγγραφείς: | Tsechpenakis, Gabriel Rapantzikos, Konstantinos Tsapatsoulis, Nicolas Kollias, Stefanos D. |
metadata.dc.contributor.other: | Τσαπατσούλης, Νικόλας | Major Field of Science: | Social Sciences | Field Category: | Media and Communications | Λέξεις-κλειδιά: | Model-based snakes;Object partial occlusion;Rule-driven tracking | Ημερομηνία Έκδοσης: | 15-Ιου-2004 | Πηγή: | EURASIP Journal on Applied Signal Processing, 2004, vol. 2004, no. 1, pp. 841-860 | Volume: | 2004 | Issue: | 1 | Start page: | 841 | End page: | 860 | Περιοδικό: | EURASIP Journal on Applied Signal Processing | Περίληψη: | 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: | https://hdl.handle.net/20.500.14279/1957 | ISSN: | 11108657 | DOI: | 10.1155/S1110865704401103 | Rights: | © Hindawi | Type: | Article | Affiliation: | Rutgers University National Technical University Of Athens |
Εμφανίζεται στις συλλογές: | Άρθρα/Articles |
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Αρχείο | Περιγραφή | Μέγεθος | Μορφότυπος | |
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1687-6180-2004-812184.pdf | 5.59 MB | Adobe PDF | Δείτε/ Ανοίξτε |
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