Probabilistic Multi-Person Tracking with Relative Position Measurements

Material type: 文書・図像類

Author: TANAKA, Kanjiほか

Publisher: INTERNATIONALSAR

Publication date: 2009-06

Material Format: Digital

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Note (General)：: This paper presents a particle filtering framework for tracking multiple persons with a monocular camera. So far, most of techniques based on particle...

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Material Type: 文書・図像類
Title: Probabilistic Multi-Person Tracking with Relative Position Measurements
Author/Editor: TANAKA, Kanji
MINAMI, Mamoru
Author Heading: TANAKA, Kanji
MINAMI, Mamoru
Publication, Distribution, etc.: INTERNATIONALSAR
Publication Date: 2009-06
Publication Date (W3CDTF): 2009-06
Periodical title: emerging technologies, robotics and control systems, 3rd edition
Text Language Code: eng
Subject Heading: visual tracking
occlusion reasoning
particle filter
Target Audience: 一般
Note (General): 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.
Access Restrictions: 限定公開
Data Provider (Database): 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
Original Data Provider (Database): 福井大学 : 福井大学学術機関リポジトリ