教師資料查詢 | 類別: 會議論文 | 教師: 林慧珍 Lin Hwei-jen (瀏覽個人網頁)

標題:Moving Object Detection and Tracking
學年97
學期1
發表日期2008/11/21
作品名稱Moving Object Detection and Tracking
作品名稱(其他語言)
著者Lin, Hwei-Jen; Liang, Feng-Ming; Wang, Chun-Wei; Yang, Fu-Wen
作品所屬單位淡江大學資訊工程學系
出版者臺北縣淡水鎮 : 淡江大學
會議名稱第十三屆人工智慧與應用研討會=The 13th conference on artificial intelligence and applications
會議地點宜蘭縣, 臺灣
摘要For object detection and tracking, we use amodified version of Gaussian Mixture Models(GMMs) to construct background, which is thensubtracted from the image to obtain the foregroundwhere the moving objects locate. We then performsome operations, including shadow removal, edgedetection, and connected component analysis, tolocalize each moving object in the foreground. As soon as an object is detected it is then trackedin the following frames by the use of Particle Filters(PF). PF is effective but the dimension of its statespace is high so as the tracked objects tend to beshifting. To reduce this problem we modify theparticle filtering by carrying out tracking over theforeground portion instead of the whole image. Withthe use of the modified versions of GMMs and PFs,our system was proved to have high accuracy rate ofdetection/tracking and satisfactory time efficiency.
關鍵字Detection;Tracking;Gaussian mixture model (GMM);Particle filter (PF);Sequential K means algorithm;Expectation maximization (EM)
語言英文
收錄於
會議性質國內
校內研討會地點蘭陽校園
研討會時間20081121~20081122
通訊作者
國別中華民國
公開徵稿Y
出版型式紙本
出處第十三屆人工智慧與應用研討會論文集=The 13th conference on artificial intelligence and applications, pp.809-813
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