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|
|ジャーナル||IEICE technical report|
|出版ステータス||出版済み - 2 11 2010|