資料載入中.....
|
請使用永久網址來引用或連結此文件:
http://ir.ncue.edu.tw/ir/handle/987654321/10373
|
題名: | Motion Detection by Using Entropy Image and Adaptive State-Labeling Technique |
作者: | Chang, Meng-chou;Cheng, Yong-Jie |
貢獻者: | 電子工程學系 |
日期: | 2007-05
|
上傳時間: | 2012-05-22T06:47:02Z
|
出版者: | IEEE |
摘要: | This paper proposes an improved motion detection method based on the entropy image and the adaptive statelabeling algorithm. In our method, a spatio-temporal sliding window is built for each pixel, and the pixels in the sliding window are assigned state labels according to our adaptive state-labeling technique. The state label distribution in the sliding window is used to construct the entropy image, in which a pixel with lower entropy is considered as part of a moving object. In this paper, we have compared our motion detection method with the MRF (Markov random field) based method, the STEI (spatio-temporal entropy image) method, and the DSTEI (difference-based spatio-temporal entropy image) method. Experimental results show that our motion detection method is robust and has lower computational complexity. |
關聯: | The 2007 IEEE International Symposium on Circuits and Systems, May 27-30, 2007: 3667-3670 |
顯示於類別: | [電子工程學系] 會議論文
|
文件中的檔案:
檔案 |
大小 | 格式 | 瀏覽次數 |
index.html | 0Kb | HTML | 646 | 檢視/開啟 |
|
在NCUEIR中所有的資料項目都受到原著作權保護.
|