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科技與工程學院
機電工程學系
教師著作
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教師著作

Permanent URI for this collectionhttp://rportal.lib.ntnu.edu.tw/handle/20.500.12235/31266

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3D microneedle array 1
5052-H34鋁美合金 1
a motion analytical table is proposed to record the movable behavior. The motion analytical table is used to divide the motion object into five behaviors: stop 1
Adaptive control 1
adaptive control 1
Alternative energy 1
and motion object classification. The background subtraction method need not background model in advance. A Fibonacci Series based background updating is proposed to update the background model. The fast background subtraction is used to detect motion object under the fixed or movable camera. In the motion object behavior analysis stage 1
and the ratio of the motion object are used to identify the motion object as people or car. The identification method is rule-based. The experiment shows that the fast background subtraction is effective which can deal 320x240 frame size with 13 fps. Especially the speed of the background updating is the fastest than other methods. The speed of the background updating only uses 4 Frames. 1
Anionic surfactant 1
Anisotropic etching 2
Anomalous deposit 1
Antireflection structure 1
antireflection structure 1
Atmosphere pressure 1
AZ31B-H24鎂合金 1
B1. ZnO:Al 1
B2. semiconducting II–VI materials 1
background model 1
Background Subtraction 1
background subtraction 1

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