Ostrich
发表于 2025-3-28 15:39:23
Generative AI Customer End Useses the traffic congestion, one of the largest metropolis problems, even more often to happen. To avoid this kind of issue, this paper proposes a management system by videomonitoring for the urban traffic. And the goal is to identify the vehicles e count them in period of time using Computer Vision and Image Processing techniques.
EXPEL
发表于 2025-3-28 19:32:37
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讽刺滑稽戏剧
发表于 2025-3-29 00:49:44
Generative AI Customer End Usesm side maximum a-posteriori (MAP) reconstruction is adopted with sub-pixel translational motion estimation algorithm for spatial resolution enhancement. Resulting algorithm is implemented in CUDA using a low end . 640 GPU, and an overall speed up of 10 – 11 times is achieved compared to ANSI C implementation running on a Core .5 CPU.
脱毛
发表于 2025-3-29 05:03:00
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Flatter
发表于 2025-3-29 10:46:31
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Evocative
发表于 2025-3-29 14:07:59
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思想
发表于 2025-3-29 17:33:17
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同谋
发表于 2025-3-29 21:23:03
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模仿
发表于 2025-3-30 01:49:10
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enmesh
发表于 2025-3-30 07:58:13
Generative AI Customer End Usescongestion). We propose to represent a traffic video shot by an interval valued features. Unlike the conventional methods, the interval valued feature representation is able to preserve the variations existing among the extracted features of a traffic video shot. Based on the proposed symbolic repre