| Presentation | 2019-12-05 An Circular Road Signs Extraction Method for Accelerating Object Detection System Fang Yin, Kentaro Katayama, Eiji Yoshida, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Cyber-physical system (CPS) becomes realistic with the development of sensing technology and pattern recognition technology. There is a typical example that dynamic map could display the traffic information dynamically. In dynamic map construction, objects are recognized based on the information from each vehicle’s camera and sensor, and recognition results from each vehicle are aggregated and mapped dynamically. Since objects recognition requires a large amount of computing resources, there is a problem that memory capacity and processing capability are insufficient while performing all processing by edge device such as in-vehicle computer. Furthermore, low bandwidth is also a problem while transmitting a large amount of data in the data transfer architecture from in-vehicle to cloud. Therefore, our research efforts focus on the architecture which extracts the shape of objects by edge device, and recognize objects by cloud to reduce network bandwidth. This paper reports the results of proposed fast circular road signs extraction method by the edge device. We extract a candidate region by color filter in HSV space, and detect the center of a circle by only 4 lines input buffer. The experimental result shows our proposed method is 11.5 times faster than the conventional one. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Cyber-Physical System / Edge Computing / Image Processing / Artificial Intelligence |
| Paper # | CS2019-77,IE2019-57 |
| Date of Issue | 2019-11-28 (CS, IE) |
| Conference Information | |
| Committee | IE / CS / IPSJ-AVM / ITE-BCT |
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| Conference Date | 2019/12/5(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Aiina Center |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Image coding, Communications and streaming technologies, etc. |
| Chair | Hideaki Kimata(NTT) / Hidenori Nakazato(Waseda Univ.) / Sei Naito(KDDI Research, Inc.) / Kyoichi Saito(NHK) |
| Vice Chair | Kazuya Kodama(NII) / Keita Takahashi(Nagoya Univ.) / Jun Terada(NTT) / / Eichi Murata(Kyoto Univ.) / Tomomi Fukazawa(TBS) |
| Secretary | Kazuya Kodama(NTT) / Keita Takahashi(NHK) / Jun Terada(Waseda Univ.) / (Mitsubishi Electric) / Eichi Murata(NTT) / Tomomi Fukazawa(Tokyo Univ. of Science) |
| Assistant | Kyohei Unno(KDDI Research) / Norishige Fukushima(Nagoya Inst. of Tech.) / Kazutaka Hara(NTT) / Hiroyuki Saito(OKI) / / Minoru Okada(Nara Institute of Science and Technology) / Jun Yukawa(Mitsubishi Electric Corporation) / Takao Tsuda(NHK) |
| Paper Information | |
| Registration To | Technical Committee on Image Engineering / Technical Committee on Communication Systems / Special Interest Group on Audio Visual and Multimedia Information Processing / Technical Group on Broadcasting and Communication Technologies |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | An Circular Road Signs Extraction Method for Accelerating Object Detection System |
| Sub Title (in English) | |
| Keyword(1) | Cyber-Physical System |
| Keyword(2) | Edge Computing |
| Keyword(3) | Image Processing |
| Keyword(4) | Artificial Intelligence |
| 1st Author's Name | Fang Yin |
| 1st Author's Affiliation | Fujitsu Laboratories LTD(Fujitsu Lab) |
| 2nd Author's Name | Kentaro Katayama |
| 2nd Author's Affiliation | Fujitsu Laboratories LTD(Fujitsu Lab) |
| 3rd Author's Name | Eiji Yoshida |
| 3rd Author's Affiliation | Fujitsu Laboratories LTD(Fujitsu Lab) |
| Date | 2019-12-05 |
| Paper # | CS2019-77,IE2019-57 |
| Volume (vol) | vol.119 |
| Number (no) | CS-323,IE-324 |
| Page | pp.pp.41-46(CS), pp.41-46(IE), |
| #Pages | 6 |
| Date of Issue | 2019-11-28 (CS, IE) |