A Novel Object Detection Method Based on Fuzzy Sets Theory and SURF

Wahyu Rahmaniar, Wen June Wang

研究成果: 書貢獻/報告類型會議論文篇章同行評審

4 引文 斯高帕斯(Scopus)

摘要

In this paper a novel object detection with the combination of fuzzy concepts and SURF is presented. This method contains several steps which are fuzzy C-means (FCM) clustering, Gaussian filter, edge detection and speed-up robust feature (SURF). The image contains the target object which can be taken from a camera more than 2 meters away. SURF is used to detect the feature points and extract the feature descriptor that shows an excellent performance on robust and accurate object detection; however, it is prone to fail when the target object is rather far away from the camera such as the distance more than 2 meters. The proposed method addresses to solve the problem that is achieved by some pre-processing for the image as follows. Using FCM to shows up the colourful parts and using fuzzy inference system (FIS) to detect the edges in the image. The above two processes can improve the accuracy of feature detection and reduce the calculation of the descriptor in SURF. The experiment shows the proposed method performs the target extraction efficiently and accurately with the distance 2 meters between the target object and the camera.

原文???core.languages.en_GB???
主出版物標題New Trends on System Sciences and Engineering - Proceedings of ICSSE 2015
編輯Hamido Fujita, Shun-Feng Su
發行者IOS Press
頁面570-582
頁數13
ISBN(電子)9781614995210
DOIs
出版狀態已出版 - 2015
事件International Conference on System Science and Engineering, ICSSE 2015 - Morioka, Japan
持續時間: 6 7月 20158 7月 2015

出版系列

名字Frontiers in Artificial Intelligence and Applications
276
ISSN(列印)0922-6389

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???event.eventtypes.event.conference???International Conference on System Science and Engineering, ICSSE 2015
國家/地區Japan
城市Morioka
期間6/07/158/07/15

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