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DC Field | Value | Language |
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dc.contributor.author | BOUTADARA, Nadia | - |
dc.contributor.author | BOUAZZA, Fatima Zahra | - |
dc.contributor.author | KOHILI, Mohammed / Promoteur | - |
dc.date.accessioned | 2019-05-08T09:45:51Z | - |
dc.date.available | 2019-05-08T09:45:51Z | - |
dc.date.issued | 2017 | - |
dc.identifier.uri | http://www.univ-adrar.dz/:8080/xmlui/handle/123456789/782 | - |
dc.description.abstract | In this memory, we propose a method of activity recognition, based on a hybrid model of Hidden Markov-Chain Separator (SVM-HMMs) which explicitly models the sequential aspect of the activities while exploiting geometric parameters, that we have proposed, the game of the experiments was playing on a video database KTH. We have shown that the use of this hybridization makes it possible to improve the performance of the recognition system. Keywords: Recognition of activities; Video surveillance, sequential data classification; Large margin separators; Hidden markov Model, video, recognition. | en_US |
dc.language.iso | fr | en_US |
dc.publisher | Université Ahmed Draia - ADRAR | en_US |
dc.subject | Recognition of activities | en_US |
dc.subject | Video surveillance | en_US |
dc.subject | sequential data classification | en_US |
dc.subject | In this memory | en_US |
dc.subject | video | en_US |
dc.subject | recognition | en_US |
dc.subject | المراقبة بالفيديو | en_US |
dc.subject | تصنيف البيانات | en_US |
dc.subject | سلاسل ماركوف | en_US |
dc.title | Proposition d’une approche intelligente pour la reconnaissance d’actions humaines à partir d’image de vidéosurveillance | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | Mémoires de Master |
Files in This Item:
File | Description | Size | Format | |
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Mémoire fin d'etude.pdf | 2.45 MB | Adobe PDF | View/Open |
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