應用視訊於攜帶武器之人體物件自動偵測研究

Automatic Detection of Human Carrying Weapons in Video Sequences

曾芳梅(Janice Budihartono)

指導教授 ： 張元翔

中原大學/工學院/資訊工程研究所/碩士(2010年)

https://doi.org/10.6840/cycu201000619

摘要

人類非正常行為的自動化偵測，一直是智慧型視訊監視系統的主要目標之一。在本篇論文中，我們提出一個可以在視訊影像序列中，偵測出人類是否攜帶武器之系統。研究方法包含：(a)轉換階段；(b)特徵偵測；(c)特徵擷取；(d)手部姿勢學習階段等。運用一組「肯定」及「否定」影像，研究結果呈現初步的成功。最終本系統預計可與移動偵測及移動追蹤技術結合，提供一個在特定場所(如：銀行、便利商店…等)可以有效執法的解決方案。

關鍵字

行為分析 ； 特徵擷取 ； 手勢分析 ； 影像監視

並列摘要

Automatic detection of abnormal human behavior is one of the primary goals for a “smart” video surveillance system. In this research, we propose a system that is aimed to detect human carrying a weapon using images in video sequences. The methods include: (a) transformation phase; (b) feature detection phase; (c) feature extraction phase; and (d) arm-pose learning phase to classify if the human is carrying a weapon in images. Our results demonstrated preliminary success using a number of “positive” and “negative” images. Ultimately, this system could be incorporated with motion detection or motion tracking techniques, leading to provide a solution for law enforcement in particular area (e.g., banks, convenient stores, etc.).

並列關鍵字

behavior analysis ； gesture analysis ； feature extraction ； video surveillance

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