| Summary: | 碩士 === 東海大學 === 資訊工程學系 === 101 === Background segmentation is a very important technology to get information about moving objects. In order to get the right background information, you must create a background model to segment the foreground and background. The traditional segmentation algorithm have a good effect on dealing with complex background information, but it also brings more processing time and larger memory space. This paper presents a new algorithm to detect moving objects in the foreground, the use of block-based processing of pixels in the image, and then one by one grouping whose pixels are subsequently acquires the background color information. The block-based and pixel grouping process can significantly reduce the time requirement to create a background model and accelerate get background information. Through grouping color after background information you can extract information about moving objects, and then provided to the user-related alerts, to maintain social security purposes.
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