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

標題:Moving Object Detection and Tracking Using GMM
學年98
學期1
出版(發表)日期2009/08/01
作品名稱Moving Object Detection and Tracking Using GMM
作品名稱(其他語言)
著者Lin, Hwei-jen; Yeh, Jih-pin; Wang, Chun-wen; Liang, Feng-ming
單位淡江大學資訊工程學系
出版者Allahabad: Pushpa Publishing House
著錄名稱、卷期、頁數Far East Journal of Experimental and Theoretical Artificial Intelligence 3(2), pp.69-80
摘要For object detection and tracking, we use a modified version of Gaussian Mixture Models (GMMs) to construct the background, and then subtract it from the image to obtain the foreground where the moving objects are located. We then perform some operations, including shadow removal, edge detection, and connected component analysis to localize each moving object in the foreground. As soon as an object is detected, it is tracked in the subsequent frames using a Particle Filter (PF). The PF is effective, but the dimension of its state space is high since the tracked objects tend shift. To reduce this problem, we modify the particle filter by tracking over the foreground portion instead of the entire image. Using modified versions of both the GMM and PF, our system proves to have a high accuracy rate for detection/tracking and satisfactory time efficiency.
關鍵字Detection; tracking; Gaussian mixture model; Particle filters; Sequential K-mean algorithm; Expectation maximization
語言英文
ISSN0974-3261
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