| Presentation | 2013-09-18 Study on Processor Architecture for Image Recognition Masayuki MIYAMA, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper proposes a novel classification method using gradient moments as image features. The quantity can also be used for image segmentation and object tracking. Experimental results show the proposed method achieves 99% accuracy rate. It is higher than those of conventional methods such as hear-like and HOG. The paper also describes an efficient processor architecture dedicated to the image recognition. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | affine motion model estimation / motion segmentation / gradient moment / SVM / image recognition |
| Paper # | RECONF2013-20 |
| Date of Issue |
| Conference Information | |
| Committee | RECONF |
|---|---|
| Conference Date | 2013/9/11(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | |
| Vice Chair | |
| Secretary | |
| Assistant | |
| Paper Information | |
| Registration To | Reconfigurable Systems (RECONF) |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Study on Processor Architecture for Image Recognition |
| Sub Title (in English) | |
| Keyword(1) | affine motion model estimation |
| Keyword(2) | motion segmentation |
| Keyword(3) | gradient moment |
| Keyword(4) | SVM |
| Keyword(5) | image recognition |
| 1st Author's Name | Masayuki MIYAMA |
| 1st Author's Affiliation | School of Electrical and Computer Engineering, College of Science and Engineering, Kanazawa University() |
| Date | 2013-09-18 |
| Paper # | RECONF2013-20 |
| Volume (vol) | vol.113 |
| Number (no) | 221 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |