Presentation 1998/1/22
Multiple-Human Tracking using Multiple Cameras
Hiroki Mori, Akira Utsumi, Jun Ohya, Masahiko Yachida,
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Abstract(in English) We propose a human motion detection method using multiple-viewpoint images. In vision-based human tracking, self-occlusions and human-human occlusions are a part of the more significant problems. We employ a viewpoint selection mechanism to reduce these problems. The vision system in this case should select the best viewpoints for extracting human motion information; the "best" selections can be changed among different types of target information. In this paper, we divide the human tracking task into three primitive sub-tasks (position detection, rotation angle detection and body-side detection). Each sub-task has a different criterion for selecting viewpoints. We describe the criterions for accomplishing the individual sub-tasks and the relationships between sub-tasks. we also describe results of some fundamental experiments.
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Keyword(in English) human motion / multiple-camera / camera selection
Paper # PRMU97-199
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Conference Information
Committee PRMU
Conference Date 1998/1/22(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Multiple-Human Tracking using Multiple Cameras
Sub Title (in English)
Keyword(1) human motion
Keyword(2) multiple-camera
Keyword(3) camera selection
1st Author's Name Hiroki Mori
1st Author's Affiliation Graduate School of Engineering Science, Osaka University()
2nd Author's Name Akira Utsumi
2nd Author's Affiliation ATR Media Integration & Communications Research Laboratories
3rd Author's Name Jun Ohya
3rd Author's Affiliation ATR Media Integration & Communications Research Laboratories
4th Author's Name Masahiko Yachida
4th Author's Affiliation Graduate School of Engineering Science, Osaka University
Date 1998/1/22
Paper # PRMU97-199
Volume (vol) vol.97
Number (no) 500
Page pp.pp.-
#Pages 8
Date of Issue