複雜前景之移動性人物檢測與行為分析

Moving Human Detection and Behavior Analysis under Complex Foreground

孫銘鐘(Ming-Chung Sun)

指導教授 ： 吳明芳

崑山科技大學/工程學院/電機工程研究所/碩士(2009年)

摘要

在本論文中，提出一套對於複雜前景之移動性人物檢測以及行為分析的方法。過程中，首先建立檢測所需之背景影像，接著使用連續影像相減法取得移動性物體，再經比例演算法獲得移動性人物資訊後，最後與背景相減法所取得的前景物相結合，以作為檢測複雜前景之移動性人物與行為分析之主要依據。
本論文利用數位攝影機拍攝影像，並採用實際人物模擬的方式來進行實驗。實驗結果顯示，本論文所提之方法對於移動性人物以及幾種行為的檢測皆有極高的辨識率。

關鍵字

複雜前景 ； 背景 ； 移動性人物 ； 行為分析

並列摘要

In this thesis, an algorithm that can detect a moving human and behavior analysis under complex foreground is proposed. First, we build the background image needed for moving human and behavior detection, and then use the temporal difference to obtain the moving objects. The information of moving human is obtained from a rate algorithm. Finally, the combination of temporal difference and background subtraction methods is used as the foundation for moving human detection and behavior analysis under the complex Foreground.
In this thesis, the running images are captured by a digital camera. Experiments are carried out by the simulation of realistic human. The experimental results show that the proposed method offers the extremely high correct identification rate for moving human detection and behavior analysis.

並列關鍵字

Complex foreground ； Background ； Moving human ； Behavior analysis

參考文獻

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