會議論文
| 學年 | 98 |
|---|---|
| 學期 | 1 |
| 發表日期 | 2010-12-06 |
| 作品名稱 | Low resolution method using adaptive LMS scheme for moving objects detection and tracking |
| 作品名稱（其他語言） | |
| 著者 | Hsia, Chih-Hsien; Yeh, Yi-Ping; Wu, Tsung-Cheng; Chiang, Jen-Shiun; Liou, Yun-Jung |
| 作品所屬單位 | 淡江大學電機工程學系 |
| 出版者 | New York: Institute of Electrical and Electronics Engineers (IEEE) |
| 會議名稱 | Intelligent Signal Processing and Communication Systems (ISPACS), 2010 International Symposium on |
| 會議地點 | |
| 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. |
| 關鍵字 | |
| 語言 | en |
| 收錄於 | |
| 會議性質 | |
| 校內研討會地點 | |
| 研討會時間 | 20101206~20101208 |
| 通訊作者 | |
| 國別 | |
| 公開徵稿 | |
| 出版型式 | |
| 出處 | Intelligent Signal Processing and Communication Systems (ISPACS), 2010 International Symposium on, pp.1-4 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/80825 ) |