教師資料查詢 | 類別: 期刊論文 | 教師: 蔡奇謚 Chi-yi Tsai (瀏覽個人網頁)

標題:Real-time implementation of a keypoint-based automatic target selection and tracking system for applications of random bin picking
學年104
學期2
出版(發表)日期2016/05/01
作品名稱Real-time implementation of a keypoint-based automatic target selection and tracking system for applications of random bin picking
作品名稱(其他語言)
著者Chi-Yi Tsai; Cheng-Jui Yu; Chao-Chun Yu; Ching-Chang Wong
單位
出版者
著錄名稱、卷期、頁數ICIC express letters. Part B, Applications : an international journa rel ofsearch and surveys 7(5), p.1135-1140
摘要Object recognition and detection play important roles in various computer vision applications. When images contain different types of objects, detection of an object-of-interest (OOI) from multiple stacking objects becomes a difficult task to be handled using a monocular camera. In this paper, a novel automatic target selection and tracking algorithm is proposed to address this issue efficiently. The proposed method first uses keypoint correspondences to compute control points of targets appeared in incoming images. Next, each OOI in captured images is separated from multiple stacking objects randomly placed in a box using mean shift clustering approach. Finally, a template-based visual tracking method is used to locate and track center position of the top OOI in the box. When implemented on an Intel Core i5-4440 3.1GHz platform, the proposed algorithm achieves real-time performance about 30 frames per second at 640x480 image resolution in the experiments.
關鍵字
語言英文
ISSN2185-2766
期刊性質國外
收錄於EI;
產學合作
通訊作者
審稿制度
國別日本
公開徵稿
出版型式,紙本
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