Presentation | 2008-06-12 Hardware Implementation of Run-time Learning for Object Recognition Kazunori KIMURA, Hiroyuki OCHI, Ryusuke MIYAMOTO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Cascade Particle Filter is one of the latest schemes which enables highly accurate object recognition. In order to apply the scheme to embedded applications such as surveillance, automobiles, and robotics, a specialized processor or hardware implementation is indispensable because of limitation of power consumption. In this paper we propose a hardware implementation of run-time learning process that is the most computationally intensive part of Cascade Particle Filter. Implementation result shows that the hardware on Virtex-5 FPGA achieves real-time processing at 30 frames per second. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | object recognition / Cascade Particle Filter / boosting / hardware implementation / run-time learning |
Paper # | SIS2008-5 |
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Committee | SIS |
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Conference Date | 2008/6/5(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Smart Info-Media Systems (SIS) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Hardware Implementation of Run-time Learning for Object Recognition |
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Keyword(1) | object recognition |
Keyword(2) | Cascade Particle Filter |
Keyword(3) | boosting |
Keyword(4) | hardware implementation |
Keyword(5) | run-time learning |
1st Author's Name | Kazunori KIMURA |
1st Author's Affiliation | Dept. of Communications and Computer Engineering, Graduate School of Informatics, Kyoto Univ.() |
2nd Author's Name | Hiroyuki OCHI |
2nd Author's Affiliation | Dept. of Communications and Computer Engineering, Graduate School of Informatics, Kyoto Univ. |
3rd Author's Name | Ryusuke MIYAMOTO |
3rd Author's Affiliation | Dept. of Information Systems, Graduate School of Information Science, Nara Institute of Science and Technology |
Date | 2008-06-12 |
Paper # | SIS2008-5 |
Volume (vol) | vol.108 |
Number (no) | 85 |
Page | pp.pp.- |
#Pages | 6 |
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