局所特徴を利用したナンバープレート検出

大場 慎平, 小野 善太郎, 馮 尭楷, 内田 誠一

研究成果: Contribution to journalArticle査読

抄録

This paper proposes a method for detecting license plates by local feature called SURF, and concealing the detected plates. SURF is a method for extracting rotation and scale invariant local feature, like SIFT. In the proposed method, first, SURF features are extracted from training-patterns capturing license plates. Then, each of SURF features from a testpattern is compared with features from training-patterns, and finally, the local areas with high similarity are detected as the location of a license plate. After that, the detected plate area is concealed by blurring.
寄稿の翻訳タイトルLicense plate detection using local features
本文言語日本語
ページ(範囲)1-6
ページ数6
ジャーナルIEICE technical report
109
418
出版ステータス出版済み - 2 11 2010

引用スタイル