教師資料查詢 | 類別: 期刊論文 | 教師: 顏淑惠 Yen Shwu-huey (瀏覽個人網頁)

標題:Accurate and robust ROI localization in a camshift tracking application
學年104
學期1
出版(發表)日期2015/12/01
作品名稱Accurate and robust ROI localization in a camshift tracking application
作品名稱(其他語言)
著者Yen, Shwu-Huey; Wang, Chun-Hui; Chien, Jui-Chen
單位淡江大學資訊工程學系
出版者New York: Springer New York LLC
著錄名稱、卷期、頁數Multimedia Tools and Applications 74(23), pp.10291–10312
摘要Camshift has been well accepted as one of the most popular methods for object tracking. However, it fails to address complex situations, such as similar color interference, object occlusion, and illumination changes. In this paper, we enhance Camshift to enable it to handle the above-mentioned problems. A two-dimensional (2D) histogram of the hue and luminance is used for the color features of the target. To reduce the influence from irrelevant background pixels, a Flood-fill operation is implemented. The obtained 2D target model can precisely describe the target as well as achromatic points. A similarity score is evaluated to prevent similar color interference. When a target’s colors are not distinguishable from the background colors, motion information will contribute to the tracking task. Finally, an average rate change is adopted to maintain progressive but not abrupt changes in the window size. The proposed algorithm has been extensively tested. The results are satisfactory while maintaining the processing in real time.
關鍵字Camshift;Mean shift;Tracking;Surveillance;Flood-fill
語言英文(美國)
ISSN1380-7501;1573-7721
期刊性質國外
收錄於SCI;
產學合作
通訊作者Yen, Shwu-Huey
審稿制度
國別美國
公開徵稿
出版型式,電子版,紙本
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