Please use this identifier to cite or link to this item: https://dspace.upt.ro/xmlui/handle/123456789/1451
Title: Occlusions detection for improved particle filtering-based tracking [articol]
Authors: Canals, Raphael
Ganoun, Ali
Subjects: Object tracking
Particle filtering
Occlusion
Issue Date: 2008
Publisher: Timişoara : Editura Politehnica
Citation: Canals, Raphael. Occlusions detection for improved particle filtering-based tracking. Timişoara: Editura Politehnica, 2008
Series/Report no.: Seria electronică şi telecomunicaţii;Tom 53(67), fasc. 2 (2008)
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.
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
Appears in Collections:Articole științifice/Scientific articles

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