Automated Video Surveillance System for Snatching Detection Using Heuristic Analysis of Moving Objects
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- China Takahiro
- Department of Information Engineering, University of the Ryukyus
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- Miyahara Akira
- Graduate School of Engineering, University of the Ryukyus
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- Nagayama Itaru
- Department of Information Engineering, University of the Ryukyus
Bibliographic Information
- Other Title
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- 動画像オブジェクトのHeuristic解析によるひったくりの自動検知
- ドウガゾウ オブジェクト ノ Heuristic カイセキ ニ ヨル ヒッタクリ ノ ジドウ ケンチ
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Abstract
In this paper, we present an automated video surveillance system for snatching detection using a heuristic algorithm. Localization of moving targets in a video stream and human behavior estimation are key techniques in the proposed system. Some motion characteristics are determined from video streams. Using metric system of a feature vector, the system classifies video streams into criminal and non-criminal scenes. We use two kinds of action sequences for the training data set. After constructing the classifier, we use test sequences that are continuous video streams of human behavior consisting of several successive actions. The experimental results show that the system is useful in detecting criminal scenes of snatching by the discrimination of human behavior as criminal or non-criminal.
Journal
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- IEEJ Transactions on Industry Applications
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IEEJ Transactions on Industry Applications 135 (2), 99-106, 2015
The Institute of Electrical Engineers of Japan
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Details 詳細情報について
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- CRID
- 1390282679635737856
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- NII Article ID
- 130004876871
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- NII Book ID
- AN10012320
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- ISSN
- 13488163
- 09136339
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- NDL BIB ID
- 026099743
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed