書誌事項
- タイトル別名
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- Human Detection Using Posterior Probability for Stochastic Human Tracking System
- 確率的な現象とその多様な捉え方
- カクリツテキ ナ ゲンショウ ト ソノ タヨウ ナ トラエ カタ
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抄録
Recently sequential and stochastic human tracking method becomes popular in order to apply to complex situations that people are close to each other or are occluded by others. This paper proposes a human detection method for such tracking method, dealing with an appearance of human in observation area. We regard this human detection as an initial setting for stochastic tracking system. Firstly we detect human candidates and set initial distribution. Secondly we develop observation model using range and color information from sensors and calculate a posterior probability distribution. Thirdly we calculate expected value of human position and delete false positives, and then combine with tracking process. At last we apply the proposed method to the data acquired at the ticket gate of the railway station and show that the detection is succeeded under complex situations.
収録刊行物
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- 写真測量とリモートセンシング
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写真測量とリモートセンシング 52 (5), 255-265, 2013
一般社団法人 日本写真測量学会
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詳細情報 詳細情報について
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- CRID
- 1390001204078070528
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- NII論文ID
- 10031166623
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- NII書誌ID
- AN00072406
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- ISSN
- 18839061
- 18838170
- 02855844
- 04534662
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- NDL書誌ID
- 024648549
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可