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DC Field | Value | Language |
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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 | - | |
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 |
Appears in Collections: | Articole științifice/Scientific articles |
Files in This Item:
File | Description | Size | Format | |
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BUPT_ART_Canals_f.pdf | 965.6 kB | Adobe PDF | View/Open |
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