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) |