關鍵字查詢 | 類別:會議論文 | | 關鍵字:Real-Time Automatic Target Selection and Tracking Algorithm Using Keypoint-Based Template Matching

[第一頁][上頁]1[次頁][最末頁]目前在第 1 頁 / 共有 01 筆查詢結果
序號 學年期 教師動態
1 104/1 電機系 蔡奇謚 教授 會議論文 發佈 Real-Time Automatic Target Selection and Tracking Algorithm Using Keypoint-Based Template Matching , [104-1] :Real-Time Automatic Target Selection and Tracking Algorithm Using Keypoint-Based Template Matching會議論文Real-Time Automatic Target Selection and Tracking Algorithm Using Keypoint-Based Template MatchingChi-Yi Tsai; Cheng-Jui YuKeypoint extraction;object detection;mean shift clustering;template matching;visual trackingProceedings of the 3rd IIAE International Conference on Intelligent Systems and Image Processing 2015, pp.187-190Object detection and tracking is an important function that helps bringing robots into real-world environments. Detection of an object-of-interest (OOI) from multiple stacking objects still holds certain degree of difficulty. In this paper, a novel target selection and tracking algorithm is proposed for detecting and tracking one OOI from multiple stacking objects. The proposed method first employs a keypoint extraction algorithm to compute control points from incoming images. Next, each OOI appeared in the image is extracted from the multiple stacking objects in
[第一頁][上頁]1[次頁][最末頁]目前在第 1 頁 / 共有 01 筆查詢結果