Presentation | 2012-09-18 A Development of Traffic-Sign Detection System by Using Vector Processor Venice Yoshiya SUGITA, Tomoki TOMISAWA, Masahiro FUKUI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper presents a development of traffic-sign detection system by using vector processor Venice. Vector processor Venice is a kind of soft vector processor which can be parallelizable by vector operation. This soft vector processor can expect faster processing than CPU in case of complex processing such as image processing. Because in-car devices are needed real-time processing, we decided traffic-sign recognition system is implemented on Venice. Especially, we developed implementation of labeling and template matching which can be expected speeding up by parallel processing. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Vector Processor / Parallel Processing / Traffic-sign Recognition / Image Processing / Template Matching |
Paper # | RECONF2012-25 |
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Conference Information | |
Committee | RECONF |
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Conference Date | 2012/9/11(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Registration To | Reconfigurable Systems (RECONF) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A Development of Traffic-Sign Detection System by Using Vector Processor Venice |
Sub Title (in English) | |
Keyword(1) | Vector Processor |
Keyword(2) | Parallel Processing |
Keyword(3) | Traffic-sign Recognition |
Keyword(4) | Image Processing |
Keyword(5) | Template Matching |
1st Author's Name | Yoshiya SUGITA |
1st Author's Affiliation | Graduate School of Science and Engineering Ritsumeikan University() |
2nd Author's Name | Tomoki TOMISAWA |
2nd Author's Affiliation | Graduate School of Science and Engineering Ritsumeikan University |
3rd Author's Name | Masahiro FUKUI |
3rd Author's Affiliation | Department of Electronic and Computer Engineering Ritsumeikan University |
Date | 2012-09-18 |
Paper # | RECONF2012-25 |
Volume (vol) | vol.112 |
Number (no) | 203 |
Page | pp.pp.- |
#Pages | 6 |
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