{"product_id":"ieej-rc13510-010","title":"Discriminative Feature Points Distribution in Near-Infrared Pedestrian Images","description":"\u003cp\u003e\u003cstrong\u003eカテゴリ: \u003c\/strong\u003e論文誌(論文単位)\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eグループ名: \u003c\/strong\u003e【C】電子・情報・システム部門\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e発行日: \u003c\/strong\u003e2015\/10\/01\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eタイトル(英語): \u003c\/strong\u003eDiscriminative Feature Points Distribution in Near-Infrared Pedestrian Images\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e著者名: \u003c\/strong\u003eXingguo 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\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e著者名(英語): \u003c\/strong\u003eXingguo 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)\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eキーワード: \u003c\/strong\u003eBag-of-Features，visual words selection，pedestrian detection，feature points distribution\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e要約(英語): \u003c\/strong\u003ePedestrian 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.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e本誌: \u003c\/strong\u003e\u003ca href=\"\/products\/ieej-rc13510\"\u003e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\u003c\/a\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e本誌掲載ページ: \u003c\/strong\u003e1222-1228 p\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e原稿種別: \u003c\/strong\u003e論文／英語\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e電子版へのリンク: \u003c\/strong\u003e\u003ca target=\"_blank\" href=\"https:\/\/www.jstage.jst.go.jp\/article\/ieejeiss\/135\/10\/135_1222\/_article\/-char\/ja\/\"\u003ehttps:\/\/www.jstage.jst.go.jp\/article\/ieejeiss\/135\/10\/135_1222\/_article\/-char\/ja\/\u003c\/a\u003e\u003c\/p\u003e","brand":"IEEJ-P10","offers":[{"title":"冊子印刷（一般価格770円\/会員価格550円） \/ A4 \/ 7","offer_id":46349472694511,"sku":"IEEJ-RC13510-010-PRT","price":770.0,"currency_code":"JPY","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0718\/9512\/2159\/files\/IEEJ-RC13510_1bd72352-bcb8-4d03-9f53-e36354da1c1b.png?v=1747382575","url":"https:\/\/ieej.bookpark.ne.jp\/products\/ieej-rc13510-010","provider":"電気学会 電子図書館","version":"1.0","type":"link"}