| Presentation | 2019-05-30 Calving sign detection system with cattle physical feature extraction from video frames Ryosuke Hyodo, Kazuma Sugawara, Teppei Nakano, Makoto Akabane, Tetsunori Kobayashi, Tetsuji Ogawa, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | A calving sign detection system using cows' state-based and motion-based features is successfully designed. The developed system exploiting only state-based features was shown to be effective in calving sign detection, but it can not capture a characteristic of movements related to calving signs (e.g., rotate, turn). This study presents a two-stage calving sign detection system, in which calving-relevant state and motion information obtained by multitask CNN-based feature extractor is taken as inputs to another LSTM-based calving sign detector. Experimental comparisons demonstrated that the developed system achieved a calving precision ratio of 83% and a calving recall ratio of 78% and the use of motion-based features helped to improve the accuracy. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Neural network / Calving sign detection / Precision livestock farming |
| Paper # | PRMU2019-1 |
| Date of Issue | 2019-05-23 (PRMU) |
| Conference Information | |
| Committee | PRMU / IPSJ-CVIM |
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| Conference Date | 2019/5/30(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Shinichi Sato(NII) |
| Vice Chair | Yoshihisa Ijiri(Omron) / Toru Tamaki(Hiroshima Univ.) |
| Secretary | Yoshihisa Ijiri(NEC) / Toru Tamaki(Osaka Univ.) |
| Assistant | Go Irie(NTT) / Yoshitaka Ushiku(Univ. of Tokyo) |
| Paper Information | |
| Registration To | Technical Committee on Pattern Recognition and Media Understanding / Special Interest Group on Computer Vision and Image Media |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Calving sign detection system with cattle physical feature extraction from video frames |
| Sub Title (in English) | |
| Keyword(1) | Neural network |
| Keyword(2) | Calving sign detection |
| Keyword(3) | Precision livestock farming |
| 1st Author's Name | Ryosuke Hyodo |
| 1st Author's Affiliation | Waseda University(Waseda Univ.) |
| 2nd Author's Name | Kazuma Sugawara |
| 2nd Author's Affiliation | Waseda University(Waseda Univ.) |
| 3rd Author's Name | Teppei Nakano |
| 3rd Author's Affiliation | Waseda University/inteligent framework, inc.(Waseda Univ./iflab, inc.) |
| 4th Author's Name | Makoto Akabane |
| 4th Author's Affiliation | Waseda University/inteligent framework, inc.(Waseda Univ./iflab, inc.) |
| 5th Author's Name | Tetsunori Kobayashi |
| 5th Author's Affiliation | Waseda University(Waseda Univ.) |
| 6th Author's Name | Tetsuji Ogawa |
| 6th Author's Affiliation | Waseda University(Waseda Univ.) |
| Date | 2019-05-30 |
| Paper # | PRMU2019-1 |
| Volume (vol) | vol.119 |
| Number (no) | PRMU-64 |
| Page | pp.pp.1-6(PRMU), |
| #Pages | 6 |
| Date of Issue | 2019-05-23 (PRMU) |