關鍵字查詢 | 類別:期刊論文 | | 關鍵字:A new method of moving object detection using adaptive filter

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1 102/2 電機系 江正雄 教授 期刊論文 發佈 A new method of moving object detection using adaptive filter , [102-2] :A new method of moving object detection using adaptive filter期刊論文A new method of moving object detection using adaptive filterHsia, Chih-Hsien; Wu, Tsung-Cheng; Chiang, Jen-Shiun中國文化大學電機工程學系研究所;淡江大學電機工程學系Image resolution;Least-mean-square (LMS);Adaptive least-mean-square scheme (ALMSS);Detection of moving objectsHeidelberg: SpringerJournal of Real-Time Image Processing 13(2), p.311–325In many real-world video analysis systems , the available resources are constrained, which limits the image resolution. However, the low computational complexity and fast response for low-resolution images still make them attractive for computer vision applications. This work presents a new model that uses a least-mean-square scheme to train the mask operation for low-resolution images. This efficient and real-time method, which uses an adaptive least-mean-square scheme (ALMSS), uses the training mask to detect moving objects on resource-limited systems. The detection of moving objects is a basic an
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