Automatic Door Detection of Convenient Stores based on Association Relations.

ICCE-TW(2021)

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摘要
Although deep learning-based object detection models such as YOLOv4 performs with high accuracy and high frame rate, it was unable to distinguish between glass doors and glass walls of a convenience store. In this paper, we introduce a method that incorporates YOLOv4 and the association relations between objects in the scene to enhance the accuracy and robustness of door entrance detection of convenient stores.
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关键词
convenient stores,association
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