Discriminative Feature Points Distribution in Near-Infrared Pedestrian Images

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: 2015/10/01

タイトル(英語): Discriminative Feature Points Distribution in Near-Infrared Pedestrian Images

著者名: Xingguo Zhang (Graduate School of Systems Science and Technology, Akita Prefectural University), Guoyue Chen (Faculty of Systems Science and Technology, Akita Prefectural University), Kazuki Saruta (Faculty of Systems Science and Technology, Akita Prefect

著者名(英語): Xingguo Zhang (Graduate School of Systems Science and Technology, Akita Prefectural University), Guoyue Chen (Faculty of Systems Science and Technology, Akita Prefectural University), Kazuki Saruta (Faculty of Systems Science and Technology, Akita Prefectural University), Yuki Terata (Faculty of Systems Science and Technology, Akita Prefectural University)

キーワード: Bag-of-Features，visual words selection，pedestrian detection，feature points distribution

要約(英語): Pedestrian detection is an important area in computer vision and plays a key role in intelligent vehicles. The objective of this paper is to provide a method to select the discriminative visual word based on the bag-of-features algorithm for pedestrian detection from near-infrared images. It calculates the difference in the total appearance frequency for each visual word of pedestrian and non-pedestrian images. The visual words which exhibit greater absolute values are considered as more efficient for pedestrian detection and can be selected. The experiment results showed that the proposed method keeps nearly the same detection accuracy even if only 40% of the visual word is selected. In addition, we investigated the distribution of discriminative feature points which belong to the selected visual words from near-infrared images and visible spectrum images.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.135 No.10 （2015） 特集：産業界を支える情報通信技術

本誌掲載ページ: 1222-1228 p

原稿種別: 論文／英語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/135/10/135_1222/_article/-char/ja/