Presentation 1999/1/21
Multiple-Human Tracking using Asynchronous Multiple Cameras
Hiroki Mori, Akira Utsumi, Jun Ohya, Masahiko Yachida,
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Abstract(in English) We propose a human motion tracking method using multiple-viewpoint images. Multiple-view-based approach is effective for tracking wide range human motions. However, conventional tracking systems require a camera synchronization mechanism and it restricts its scalability. In the system, the slowest image processing determines the entire speed. To overcome these problems, we propose an asynchronous system to track multiple person. In our system, each camera image can be processed independently with a PC. Observations in multiple viewpoints are integrated with Kalman filtering algorithm. Results of some fundamental experiments are described.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) human motion / multiple-camera / asynchronous images
Paper # PRMU98-178
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Conference Information
Committee PRMU
Conference Date 1999/1/21(1days)
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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 Asynchronous Multiple Cameras
Sub Title (in English)
Keyword(1) human motion
Keyword(2) multiple-camera
Keyword(3) asynchronous images
1st Author's Name Hiroki Mori
1st Author's Affiliation Graduate School of Engineering Science, Osaka University:ATR Media Integration & Communications Research Laboratories()
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 1999/1/21
Paper # PRMU98-178
Volume (vol) vol.98
Number (no) 527
Page pp.pp.-
#Pages 8
Date of Issue