| Presentation | 2018-01-18 Trajectory semantic segmentation based on behavior models Daisuke Ogawa, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In many cases, such as trajectories clustering and classification, we often divide a trajectory into segments as preprocessing. In this paper, we propose a trajectory semantic segmentation method based on learned behavior models. In the proposed method, we learn some behavior models from video sequences. Next, using learned behavior models and a hidden markov model, we segment a trajectory into semantic segments. Comparing with the Ramer-Douglas-Peucker algorithm, we show the effectiveness of the proposed method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | trajectory data mining / behavior analysis / semantic segmentation / bayesian inference / hidden markov model |
| Paper # | PRMU2017-112,MVE2017-33 |
| Date of Issue | 2018-01-11 (PRMU, MVE) |
| Conference Information | |
| Committee | PRMU / MVE / IPSJ-CVIM |
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| Conference Date | 2018/1/18(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Shinichi Sato(NII) / Yoshinari Kameda(Univ. of Tsukuba) |
| Vice Chair | Hironobu Fujiyoshi(Chubu Univ.) / Yoshihisa Ijiri(Omron) / Kenji Mase(Nagoya Univ.) |
| Secretary | Hironobu Fujiyoshi(AIST) / Yoshihisa Ijiri(NAIST) / Kenji Mase(Kyoto Univ.) / (NTT) |
| Assistant | Masato Ishii(NEC) / Yusuke Sugano(Osaka Univ.) / Takatsugu Hirayama(Nagoya Univ.) / Ryosuke Aoki(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Pattern Recognition and Media Understanding / Technical Committee on Media Experience and Virtual Environment / 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) | Trajectory semantic segmentation based on behavior models |
| Sub Title (in English) | |
| Keyword(1) | trajectory data mining |
| Keyword(2) | behavior analysis |
| Keyword(3) | semantic segmentation |
| Keyword(4) | bayesian inference |
| Keyword(5) | hidden markov model |
| 1st Author's Name | Daisuke Ogawa |
| 1st Author's Affiliation | Hiroshima University(Hiroshima Univ.) |
| 2nd Author's Name | Toru Tamaki |
| 2nd Author's Affiliation | Hiroshima University(Hiroshima Univ.) |
| 3rd Author's Name | Bisser Raytchev |
| 3rd Author's Affiliation | Hiroshima University(Hiroshima Univ.) |
| 4th Author's Name | Kazufumi Kaneda |
| 4th Author's Affiliation | Hiroshima University(Hiroshima Univ.) |
| Date | 2018-01-18 |
| Paper # | PRMU2017-112,MVE2017-33 |
| Volume (vol) | vol.117 |
| Number (no) | PRMU-391,MVE-392 |
| Page | pp.pp.1-7(PRMU), pp.1-7(MVE), |
| #Pages | 7 |
| Date of Issue | 2018-01-11 (PRMU, MVE) |