Improvement of Vehicle Detection Method by Using PLS Hough Transform

カテゴリ: 部門大会

論文No: SS2-7

グループ名: 【C】平成28年電気学会電子・情報・システム部門大会講演論文集

発行日: 2016/08/31

タイトル(英語): Improvement of Vehicle Detection Method by Using PLS Hough Transform

著者名: 犬飼 純平(岐阜大学),加藤 邦人(岐阜大学),Harwood David(University of Maryland),Davis Larry S.(University of Maryland)

著者名(英語): Junpei Inukai|Kunihito Kato|David Harwood|Larry S. Davis

キーワード: 一般化Hough変換|PLS回帰分析|自動車検出自動車検出|Generalized Hough transform|PLS regression|vehicle detection

要約(日本語): Generalized Hough Transform (GHT) can robustly detect generic objects against noise and occlusions. However, GHT has a weak point in detecting object shape change. Thus, we introduced a training process to determine the voting weight of GHT by using PLS regression analysis. We call our method “PLS Hough transform”. To confirm the effectiveness of our method, we applied PLS Hough transform to the vehicle detection from aerial and satellite images. However, there are many errors at the portion where the edge points are concentrated, such as the satellite images in the forests. As a solution to this problem, we introduce edge determination to PLS Hough Transform. As a result, this method has improved the accuracy than the previous method.

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