Low resolution method using adaptive LMS scheme for moving objects detection and tracking

淡江大學機構典藏 > 工學院 > 電機工程學系暨研究所 > 會議論文 > Item 987654321/80825

請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/80825

題名:	Low resolution method using adaptive LMS scheme for moving objects detection and tracking
作者:	Hsia, Chih-Hsien;Yeh, Yi-Ping;Wu, Tsung-Cheng;Chiang, Jen-Shiun;Liou, Yun-Jung
貢獻者:	淡江大學電機工程學系
日期:	2010
上傳時間:	2013-03-07 14:01:55 (UTC+8)
出版者:	New York: Institute of Electrical and Electronics Engineers (IEEE)
摘要:	This paper presents a new model for adaptive filter with the least-mean-square (LMS) scheme to train the mask operation on low resolution images. The adaptive filter theory with adaptive least-mean-square scheme (ALMSS) uses the training mask for moving object detection and tracking. However, the successful moving objects detection in a real surrounding environment is a difficult task due to noise issues such as fake motion or Gaussian noise. Many approaches have been developed in constrained environments to detect and track moving objects. On the other hand, the ALMSS approach can effectively reduce the noise with low computing cost in both fake motion and Gaussian noise environments. The experiments on real scenes indicate that the proposed ALMSS method is effective for moving object detection and tracking in real-time.
關聯:	Intelligent Signal Processing and Communication Systems (ISPACS), 2010 International Symposium on, pp.1-4
DOI:	10.1109/ISPACS.2010.5704631
顯示於類別:	[電機工程學系暨研究所] 會議論文

文件中的檔案:

檔案	描述	大小	格式	瀏覽次數
index.html		0Kb	HTML	319	檢視/開啟
LOW RESOLUTION METHOD USING ADAPTIVE LMS SCHEME FOR.pdf	全文檔	567Kb	Adobe PDF	319	檢視/開啟

在機構典藏中所有的資料項目都受到原著作權保護.

TAIR相關文章