歩行者予防安全のためのCoHOG特徴量改善による検出とParticle Filterによる追跡

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2012/07/01

タイトル(英語): Improvement CoHOG Detection and Texture Matching Tracking for Pedestrian's Active Safety

著者名: 片岡　裕雄（慶應義塾大学），田村　仁優（慶應義塾大学），松井　靖浩（交通安全環境研究所），青木　義満（慶應義塾大学）

著者名(英語): Hirokatsu Kataoka (Keio University), Kimimasa Tamura (Keio University), Yasuhiro Matsui (National Traffic Safety and Environment Laboratory), Yoshimitsu Aoki (Keio University)

キーワード: 予防安全，歩行者検出，歩行者追跡，対称性判断，CoHOG，Particle Filter　　Active Safety，Pedestrian Detection，Pedestrian Tracking，Symmetrical Judgment，CoHOG，Particle Filter

要約(英語): The total number of deaths by traffic accidents was 4,863 in 2010 and the percentage of pedestrians in the deaths tended to increase in Japan. In recent years, to provide measures for accident avoidance has been urgently required for the people on the roads or streets including pedestrians and cyclists, so called “vulnerable road users”. In the present study, technologies to detect pedestrians by forward images with cameras installed in vehicles are under development. The purpose in this study is to improve the technologies to detect and track pedestrians with a high degree of accuracy of images with a single camera. In this study, the authors predicted pedestrians' activities by monitoring pedestrians for a given length of time and developed an algorithm to recognize pedestrians and to track the pedestrian movements with a higher degree of accuracy. The effectiveness of the algorithm was investigated by pedestrians' images on real-world roads. Regarding detecting the pedestrian feature descriptor, the authors newly found that an ECoHOG accumulating the integration of gradient intensities was the best method to decrease both the undetectable and excessive detectable ratio. Therefore, the usage of the new method by images captured on the real road was validated.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.132 No.7 （2012） 特集：平成23年電気学会電子・情報・システム部門大会

本誌掲載ページ: 1108-1115 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/132/7/132_1108/_article/-char/ja/