部位スコアマップ統合による隠れにロバストな人体検出
Bibliographic Information
- Other Title
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- ブイ スコアマップ トウゴウ ニ ヨル カクレ ニ ロバスト ナ ジンタイ ケンシュツ
- Parts Score Map Integration for Partially Occluded Humans Detection
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Description
We propose a human body detection framework based on parts scope map integration, which is robust to partially occluded human image. Generally part based body detection methods utilize part detectors information such as presence or absence within certain region or their positions, by integrating them using e.g. probability distributions model. However partial body regions itself tend to be not having distinctive feature like whole body and it likely to occur false positives in case of e.g. complex background region. Another problem is deterioration of performance in case of major parts occlusion. In this paper, we propose (1) score map integration method, (2) multilayered integration method to address partial occlusion. (1) enables to distinguish part detection result of human body from them of non human body more clearly. (2) increases detection performance for partial occluded images. The evaluation result shows better performance especially in case of partial occlusion images in comparison to the traditional method.
Journal
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- 電子情報通信学会技術研究報告. PRMU, パターン認識・メディア理解
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電子情報通信学会技術研究報告. PRMU, パターン認識・メディア理解 111 (499), 47-52, 2012-03
一般社団法人電子情報通信学会
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Details 詳細情報について
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- CRID
- 1050001338804756224
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- NII Article ID
- 110009546462
- 110009546504
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- NII Book ID
- AA1123312X
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- HANDLE
- 2237/23842
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- ISSN
- 09135685
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- Text Lang
- ja
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- Article Type
- journal article
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- Data Source
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- IRDB
- NDL Search
- CiNii Articles