Probabilistic Multi-Person Tracking with Relative Position Measurements

• 資料種別: 文書・図像類
• タイトル: Probabilistic Multi-Person Tracking with Relative Position Measurements
• 著者・編者: TANAKA, Kanji; MINAMI, Mamoru
• 著者標目: TANAKA, Kanji; MINAMI, Mamoru
• 出版事項: INTERNATIONALSAR
• 出版年月日等: 2009-06
• 出版年（W3CDTF）: 2009-06
• タイトル（掲載誌）: emerging technologies, robotics and control systems, 3rd edition
• 本文の言語コード: eng
• 件名標目: visual tracking; occlusion reasoning; particle filter
• 対象利用者: 一般
• 一般注記: This paper presents a particle filtering framework for tracking multiple persons with a monocular camera. So far, most of techniques based on particle filtering rely on an assumption that measurements on pose and speed of moving persons are sufficiently precise. Unfortunately, such an assumption is often violated due to measurement noises as well as irregular movements of persons. To deal with the problem, we have developed a technique for measuring relative position between persons using occlusion reasoning. In particular, we show how the use of relative position measurements can improve the tracking performance, even in difficult situations where two persons frequently overlap in images.
• オンライン閲覧公開範囲: 限定公開
• 連携機関・データベース: 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）; https://irdb.nii.ac.jp
• 提供元機関・データベース: 福井大学 : 福井大学学術機関リポジトリ