書誌事項
- タイトル別名
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- Estimation of Street Crossing Intention from a Pedestrian's Posture Using Multiple Image Frames
- フクスウフレーム ノ ミカケ ノ シセイ ニ モトズク ホコウシャ ノ オウダン イト ノ スイテイ
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Pedestrian protection is an active area in the research field of advanced driver assistance systems. A pedestrian who intends to cross the road is more critical to the driver than one who has no intention. This paper proposes a method for estimating the crossing intention of a pedestrian on a sidewalk from the pedestrian's posture and change in posture in multiple frames during a short period of video images. It is assumed that a pedestrian in the input video is detected and tracked with some method, and the bounding boxes of a pedestrian in the input video frames are already available. First, the appearance feature of the pedestrian posture is extracted from the image and the feature vector is quantized, and a sequence of the appearance feature of the posture coded by vector quantization is obtained for a single pedestrian in multiple image frames. Then, the probability that the pedestrian intends to cross the street is calculated by a probabilistic model from the sequence of posture for the past n frames. We evaluate the method in an indoor simulated environment and demonstrate the results and performance.
収録刊行物
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- 電気学会論文誌C(電子・情報・システム部門誌)
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電気学会論文誌C(電子・情報・システム部門誌) 133 (5), 1069-1075, 2013
一般社団法人 電気学会
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詳細情報 詳細情報について
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- CRID
- 1390001204608737792
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- NII論文ID
- 10031166990
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- NII書誌ID
- AN10065950
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- ISSN
- 13488155
- 03854221
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- NDL書誌ID
- 024671748
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- 本文言語コード
- ja
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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