The use of PCA for moving objects tracking on the image sequence

Chi Farn Chen, Yun Te Su

研究成果: 書貢獻/報告類型會議論文篇章同行評審

摘要

In resent research, the new generation sensors such as digital video cameras have attracted a lot of interests. Because the sequence of images provided by the digital video camera can preserve temporal information in detail, it has been largely used to trace the moving objects appear on the images. Since PCA (Principal Component Analysis) is generally used for extracting significant information from a large number of dataset, this study adopts the concept of PCA to provide an effective method for tracking the moving object on the video image. Three steps are used to achieve the goal: (1) Interested clip extraction; (2) PCA and (3) Track extraction. The experiment results demonstrate that PCA is able to extract the track of the moving objects from the sequence of images.

原文???core.languages.en_GB???
主出版物標題Asian Association on Remote Sensing - 26th Asian Conference on Remote Sensing and 2nd Asian Space Conference, ACRS 2005
頁面1122-1125
頁數4
出版狀態已出版 - 2005
事件26th Asian Conference on Remote Sensing, ACRS 2005 and 2nd Asian Space Conference, ASC - Ha Noi, Viet Nam
持續時間: 7 11月 200511 11月 2005

出版系列

名字Asian Association on Remote Sensing - 26th Asian Conference on Remote Sensing and 2nd Asian Space Conference, ACRS 2005
2

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???event.eventtypes.event.conference???26th Asian Conference on Remote Sensing, ACRS 2005 and 2nd Asian Space Conference, ASC
國家/地區Viet Nam
城市Ha Noi
期間7/11/0511/11/05

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