NDLI: Guidage du filtrage particulaire par une étude du mouvement

Content Provider	Semantic Scholar
Author	Bichot, E. Mascarilla, Laurent Courtellemont, Pierre
Copyright Year	2005
Abstract	In this article, we propose to use results of a motion based segmentation to improve tracking by particle filtering. We generate firstly particle filtering hypotheses corresponding to regions of similar motion to target displacement at previous time step. Then, after identifying target motion region, target model is updated and integrated as reference for the next tracking iteration. This approach improves performances in complex situations compared with Bootstrap filter as shown our experiments on fish tank sequences.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://documents.irevues.inist.fr/bitstream/handle/2042/13888/A240_86543.pdf;jsessionid=BC8AA17260AD2EB490EC905805E41B30?sequence=1
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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