Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/1957
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Tsechpenakis, Gabriel | - |
dc.contributor.author | Rapantzikos, Konstantinos | - |
dc.contributor.author | Tsapatsoulis, Nicolas | - |
dc.contributor.author | Kollias, Stefanos D. | - |
dc.contributor.other | Τσαπατσούλης, Νικόλας | - |
dc.date.accessioned | 2009-05-26T08:36:35Z | en |
dc.date.accessioned | 2013-05-16T13:11:03Z | - |
dc.date.accessioned | 2015-12-02T09:41:18Z | - |
dc.date.available | 2009-05-26T08:36:35Z | en |
dc.date.available | 2013-05-16T13:11:03Z | - |
dc.date.available | 2015-12-02T09:41:18Z | - |
dc.date.issued | 2004-06-15 | - |
dc.identifier.citation | EURASIP Journal on Applied Signal Processing, 2004, vol. 2004, no. 1, pp. 841-860 | en_US |
dc.identifier.issn | 11108657 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.14279/1957 | - |
dc.description.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. | en_US |
dc.format | en_US | |
dc.language.iso | en | en_US |
dc.relation.ispartof | EURASIP Journal on Applied Signal Processing | en_US |
dc.rights | © Hindawi | en_US |
dc.subject | Model-based snakes | en_US |
dc.subject | Object partial occlusion | en_US |
dc.subject | Rule-driven tracking | en_US |
dc.title | Rule-driven object tracking in clutter and partial occlusion with model-based snakes | en_US |
dc.type | Article | en_US |
dc.collaboration | Rutgers University | en_US |
dc.collaboration | National Technical University Of Athens | en_US |
dc.subject.category | Media and Communications | en_US |
dc.journals | Open Access | en_US |
dc.country | Greece | en_US |
dc.country | United States | en_US |
dc.subject.field | Social Sciences | en_US |
dc.publication | Peer Reviewed | en_US |
dc.identifier.doi | 10.1155/S1110865704401103 | en_US |
dc.dept.handle | 123456789/54 | en |
dc.relation.issue | 1 | en_US |
dc.relation.volume | 2004 | en_US |
cut.common.academicyear | 2004-2005 | en_US |
dc.identifier.spage | 841 | en_US |
dc.identifier.epage | 860 | en_US |
item.fulltext | With Fulltext | - |
item.languageiso639-1 | en | - |
item.grantfulltext | open | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
item.cerifentitytype | Publications | - |
item.openairetype | article | - |
crisitem.journal.journalissn | 1687-6180 | - |
crisitem.journal.publisher | Springer Nature | - |
crisitem.author.dept | Department of Communication and Marketing | - |
crisitem.author.faculty | Faculty of Communication and Media Studies | - |
crisitem.author.orcid | 0000-0002-6739-8602 | - |
crisitem.author.parentorg | Faculty of Communication and Media Studies | - |
Appears in Collections: | Άρθρα/Articles |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
1687-6180-2004-812184.pdf | 5.59 MB | Adobe PDF | View/Open |
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