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| 題 名 | 影像處理技術應用於辨識異常行為之研究 |
|---|---|
| 作 者 | 黃俊能; 黃炳森; 劉建村; | 書刊名 | 資訊、科技與社會學報 |
| 卷 期 | 24 2024[民113] |
| 頁 次 | 頁(1)1-(1)26 |
| 分類號 | 312.831 |
| 關鍵詞 | 視訊監控系統; 影像處理; 深度學習; 異常活動偵測; Video surveillance systems; Image processing; Deep learning; Detection of anomalous activities; |
| 語 文 | 中文(Chinese) |
| 中文摘要 | 在資訊科技進步的國家,視訊監控系統已大量且普遍地設置在公共場域,目的在增強公共生活和資產的安全。若能針對這些視訊數據,善用成熟的影像處理與深度學習技術開發出預警系統,能及時與準確地偵測其所發生的異常活動(anomalous activities)或物體(entities),進而自動通報相關單位做出快速處理,就能避免發生如同最近超商店員遭刺身亡的憾事。本論文蒐集了近年來相關的重要文獻,接著進行綜合分析與整理,期望成果可以提供資訊系統開發專家及相關單位將來的可行性分析與施政參考。 |
| 英文摘要 | In technologically advanced countries, video surveillance systems have been extensively and commonly installed in public areas to enhance the security of public life and assets. By utilizing advanced image processing and deep learning technologies to develop early warning systems for these video data, it is possible to timely and accurately detect anomalous activities or entities. This, in turn, allows for automatic notification of relevant authorities for prompt action, thereby preventing tragic incidents such as the recent fatal stabbing of a convenience store clerk. This thesis collects important related literature from recent years, conducts a comprehensive analysis and synthesis, and aims to provide a reference for feasibility analysis and policy-making for information system development experts and relevant authorities. |
本系統中英文摘要資訊取自各篇刊載內容。