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- 長山 格
- 琉球大学工学部情報工学科
書誌事項
- タイトル別名
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- A Study on Intelligent Security Camera for Automated Detection of Snatching Incident by Using Machine Learning System
- キカイ ガクシュウ オ モチイタ ヒッタクリ オ ジドウ ケンチ スル チテキ ボウハン カメラ
この論文をさがす
抄録
In this paper, we propose an intelligent security camera system for automated detection of snatching incident. Also, BSAM(Basic Snatching Action Model) is presented to give a definition of the snatching incident. The localization of moving objects in a video stream and human behavior estimation are key techniques for the proposed system. Some motion characteristics are determined from video streams, and using Support Vector Machine, the system automatically classifies the situation of the video streams into criminal or non-criminal scenes. After constructing the classifier, we use test sequences that are continuous video streams of human behavior consisting of several actions in succession. We consider four types of scenarios for the experiments of the snatching incident. The experimental results show that the system can effectively detect criminal scenes at 95.6% accuracy.
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) 136 (3), 253-261, 2016
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
- 1390001204607786880
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- NII論文ID
- 130005132273
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- NII書誌ID
- AN10065950
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- ISSN
- 13488155
- 03854221
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- NDL書誌ID
- 027160029
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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
- KAKEN
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- 抄録ライセンスフラグ
- 使用不可