Real-Time Automatic Target Selection and Tracking Algorithm Using Keypoint-Based Template Matching
學年 104
學期 1
發表日期 2015-09-02
作品名稱 Real-Time Automatic Target Selection and Tracking Algorithm Using Keypoint-Based Template Matching
作品名稱（其他語言）
著者 Chi-Yi Tsai; Cheng-Jui Yu
作品所屬單位
出版者
會議名稱 Proceedings of the 3rd IIAE International Conference on Intelligent Systems and Image Processing 2015
會議地點 Fukuoka University, Fukuoka, Japan
摘要 Object 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 a box by using mean shift clustering approach. Finally, a template-based visual tracking method is adopted to locate and track center position of the top OOI in the box. The proposed algorithm had been implemented on an Intel Core i5-4440 3.1GHz platform, achieving real-time performance about 30 frames per second at 640x480 image resolution in the experiments.
關鍵字 Keypoint extraction;object detection;mean shift clustering;template matching;visual tracking
語言 en
收錄於
會議性質 國際
校內研討會地點 無
研討會時間 20150902~20150905
通訊作者 Chi-Yi Tsai
國別 JPN
公開徵稿
出版型式
出處 Proceedings of the 3rd IIAE International Conference on Intelligent Systems and Image Processing 2015, pp.187-190
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/106682 )