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Occlusions detection for improved particle filtering-based tracking [articol]

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dc.contributor.author Canals, Raphael
dc.contributor.author Ganoun, Ali
dc.date.accessioned 2020-04-07T15:07:57Z
dc.date.accessioned 2021-03-01T08:49:47Z
dc.date.available 2020-04-07T15:07:57Z
dc.date.available 2021-03-01T08:49:47Z
dc.date.issued 2008
dc.identifier.citation Canals, Raphael. Occlusions detection for improved particle filtering-based tracking. Timişoara: Editura Politehnica, 2008 en_US
dc.identifier.uri http://primo.upt.ro:1701/primo-explore/search?query=any,contains,Occlusions%20detection%20for%20improved%20particle%20filtering-based%20tracking&tab=default_tab&search_scope=40TUT&vid=40TUT_V1&lang=ro_RO&offset=0 Link Primo
dc.description.abstract One of the particle filtering uses is object tracking since this technique permits to deal with uncertainty over time met in real time image sequences framework. This uncertainty is as much nonmanageable that an object occlusion appears in images. In this paper, we propose an occlusion-handling scheme which significantly improves the tracking performance in presence of partial occlusion. The proposed technique is applied to track a single object in real greyscale image sequences. Results confirm tracking performance enhancement. en_US
dc.format pdf
dc.language.iso en en_US
dc.publisher Timişoara : Editura Politehnica en_US
dc.relation.ispartofseries Seria electronică şi telecomunicaţii;Tom 53(67), fasc. 2 (2008)
dc.subject Object tracking en_US
dc.subject Particle filtering en_US
dc.subject Occlusion en_US
dc.title Occlusions detection for improved particle filtering-based tracking [articol] en_US
dc.type Article en_US


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