Shyue-Wen Yang

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In this paper, we present a parallel connected component labeling method and its VLSI architecture design. The proposed method can assign labels to three pixels simultaneously for the raster scan input and then generate three label equivalences rapidly. We also present 3 arrays to process all label mergence. Based on the proposed method, we develop the(More)
Foreground object detection is one of crucial techniques for image surveillance systems. This paper presents a block-based foreground detection algorithm that possesses fast processing and low memory requirement to be performed on the embedded system for real-time operations. The gray distribution of each block is analyzed, and then the major gray pixels(More)
In this paper, we present a new moving object detection approach based on block texture. It can dramatically reduce the memory size when constructing the background model in a dynamic scene. The proposed background model and detection algorithm are suitable for implementing on embedded system platform which always has resource limitation. From the(More)
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