1.Filtered Gate Structure Applied to Joint Probabilistic Data Association Algorithm for Multi-Target Tracking in Dense Clutter Environment

作　　者：E M Saad ;El Bardawiny ;H I Ali 等

出　　处：International Journal of Computer Science Issues. 2011 ;8(2).

出版社：IJCSI Press

文章 ID：86965191

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2.Improving Data Association Based on Finding Optimum Innovation Applied to Nearest Neighbor for Multi-Target Tracking in Dense Clutter Environment

作　　者：E M Saad ;El Bardawiny ;H I Ali 等

出　　处：International Journal of Computer Science Issues. 2011 ;8(3).

出版社：IJCSI Press

文章 ID：86965328

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3.MCMC Particle Filter Using New Data Association Technique with Viterbi Filtered Gate Method for Multi-Target Tracking in Heavy Clutter

作　　者：E M Saad ;El. Bardawiny ;H.I.ALI 等

出　　处：International Journal of Advanced Computer Science and Applications(IJACSA). 2011 ;2(8).doi:10.14569/IJACSA.2011.020801

出版社：Science and Information Society (SAI)

文章 ID：111489783

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4.Filtered Gate Structure Applied to Joint Probabilistic Data Association Algorithm for Multi-Target Tracking in Dense Clutter Environment

作　　者：E M Saad El Bardawiny H I Ali N M Shawky

出　　处：International Journal of Computer Science Issues. 2011 ;8(2).

出版社：IJCSI Press

文章 ID：212317664

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5.Improving Data Association Based on Finding Optimum Innovation Applied to Nearest Neighbor for Multi-Target Tracking in Dense Clutter Environment

作　　者：E M Saad El Bardawiny H I Ali N M Shawky

出　　处：International Journal of Computer Science Issues. 2011 ;8(3).

出版社：IJCSI Press

文章 ID：212317800

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