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アイテム
Human Tracking Using Particle Filter with Reliable Appearance Model
http://hdl.handle.net/10228/00006693
http://hdl.handle.net/10228/000066939039efc0-c86e-4046-934e-c33a59edf912
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
SICE2013_1418.pdf (4.1 MB)
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| アイテムタイプ | 会議発表論文 = Conference Paper(1) | |||||||||||
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| 公開日 | 2018-03-30 | |||||||||||
| 資源タイプ | ||||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_5794 | |||||||||||
| 資源タイプ | conference paper | |||||||||||
| タイトル | ||||||||||||
| タイトル | Human Tracking Using Particle Filter with Reliable Appearance Model | |||||||||||
| 言語 | en | |||||||||||
| 言語 | ||||||||||||
| 言語 | eng | |||||||||||
| 著者 |
Lee, Sangeun
× Lee, Sangeun× 堀尾, 恵一
WEKO
6199
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| 抄録 | ||||||||||||
| 内容記述タイプ | Abstract | |||||||||||
| 内容記述 | In this paper, we present a human tracking algorithm that can work robustly in complex environments such that serious occlusion, various appearances and abrupt motion changes occur in the scenario. Our tracking framework is well known particle filter based on Condensation algorithm. In the observation model of the particle filter, we establish RAM(Reliable Appearance Model) which exhibits high discriminative performance in particular for human tracking. The RAM is to describe a target as features from local descriptors. In order to extract practical features from a larger number of local descriptors for robust tracking, the features were employed by boosting algorithm. The components of the features are utilized color and shape based-models. Experimental results demonstrate that our approach tracks the target accurately and reliably when position and scale are changing as well as occurrence of occlusion. | |||||||||||
| 備考 | ||||||||||||
| 内容記述タイプ | Other | |||||||||||
| 内容記述 | SICE Annual Conference 2013 - International conference on Instrumentation, Control, Information Technology and System Integration, September 14-17, 2013, Nagoya University, Nagoya, Japan | |||||||||||
| 書誌情報 |
Proceedings of SICE Annual Conference 2013 p. 1418-1424, 発行日 2013-09 |
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| 出版社 | ||||||||||||
| 出版社 | 公益社団法人計測自動制御学会 | |||||||||||
| 著作権関連情報 | ||||||||||||
| 権利情報 | 公益社団法人計測自動制御学会 | |||||||||||
| キーワード | ||||||||||||
| 主題Scheme | Other | |||||||||||
| 主題 | Feature extraction | |||||||||||
| キーワード | ||||||||||||
| 主題Scheme | Other | |||||||||||
| 主題 | Human tracking | |||||||||||
| キーワード | ||||||||||||
| 主題Scheme | Other | |||||||||||
| 主題 | Reliable Appearance Model (RAM | |||||||||||
| キーワード | ||||||||||||
| 主題Scheme | Other | |||||||||||
| 主題 | Particle filter, Local descriptor | |||||||||||
| 出版タイプ | ||||||||||||
| 出版タイプ | VoR | |||||||||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||||||
| 査読の有無 | ||||||||||||
| 値 | yes | |||||||||||
| 研究者情報 | ||||||||||||
| URL | https://hyokadb02.jimu.kyutech.ac.jp/html/356_ja.html | |||||||||||
| 論文ID（連携） | ||||||||||||
| 値 | 10269704 | |||||||||||
| 連携ID | ||||||||||||
| 値 | 5652 | |||||||||||
