WEKO3
アイテム
Human Detection and Tracking Using HOG Feature and Particle Filter in Video Surveillance System
https://tokushima-u.repo.nii.ac.jp/records/2008125
https://tokushima-u.repo.nii.ac.jp/records/2008125937b5353-22f9-4c41-9284-c43ca2950366
| 名前 / ファイル | ライセンス | アクション |
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ijai_9_3_397.pdf (434 KB)
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| Item type | 文献 / Documents(1) | |||||||||||||||||||
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| 公開日 | 2021-07-01 | |||||||||||||||||||
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| アクセス権 | open access | |||||||||||||||||||
| 資源タイプ | ||||||||||||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||||||||||||
| 資源タイプ | journal article | |||||||||||||||||||
| 出版タイプ | ||||||||||||||||||||
| 出版タイプ | VoR | |||||||||||||||||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||||||||||||||
| タイトル | ||||||||||||||||||||
| タイトル | Human Detection and Tracking Using HOG Feature and Particle Filter in Video Surveillance System | |||||||||||||||||||
| タイトル別表記 | ||||||||||||||||||||
| その他のタイトル | Human Detection and Tracking Using Hog Feature and Particle Filter | |||||||||||||||||||
| 著者 |
Bhuyain, Mobarok Hossain
× Bhuyain, Mobarok Hossain
× カルンガル, スティフィン ギディンシ
WEKO
1240
× 寺田, 賢治
WEKO
106
× 辻, 明典 |
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| 抄録 | ||||||||||||||||||||
| 内容記述 | Video surveillance system has recently attracted much attention in various fields for monitoring and ensuring security. One of its promising applications is in crowd control to maintain the general security in public places. However, the problem of video surveillance systems is the required continuous manual monitoring especially for crime deterrence. In order to assist the security monitoring the live surveillance systems, intelligent target detection and tracking techniques can send a warning signal to the monitoring officers automatically. Towards this end, in this paper, we propose an innovative method to detect and track a target person in a crowded area using the individual’s features. In the proposed method, to realize automatic detection and tracking we combine Histogram of Oriented Gradient (HOG) feature detection with a particle filter. The HOG feature is applied for the description of contour detection for the person, while the particle filter is used for tracking the targets using skin and clothes color based features. We have developed the evaluation system implementing our proposed method. From the experimental results, we have achieved high accuracy detection rate and tracked the specific target precisely. | |||||||||||||||||||
| キーワード | ||||||||||||||||||||
| 主題 | HOG Feature | |||||||||||||||||||
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| 主題 | Particle Filter | |||||||||||||||||||
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| 主題 | Tracking people | |||||||||||||||||||
| キーワード | ||||||||||||||||||||
| 主題 | Video Surveillance System | |||||||||||||||||||
| 書誌情報 |
en : International Journal of Advanced Intelligence 巻 9, 号 3, p. 397-407, 発行日 2017-09 |
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| 収録物識別子タイプ | ISSN | |||||||||||||||||||
| 収録物識別子 | 18833918 | |||||||||||||||||||
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| 出版者 | AIA International Advanced Information Institute | |||||||||||||||||||
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| 識別子 | 337288 | |||||||||||||||||||
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| 言語 | eng | |||||||||||||||||||
