近年來，行人偵測被廣泛的應用在電腦視覺上面。例如影像監視系統、智慧車輛系統、以內容為基礎的影像檢索等等。然而，在行人偵測上仍然存在著一些問題。在這篇論文中，我們提出一個新的結合物體局部偵測的串聯(cascade)架構，將重點放在用來改善行人受到物體遮蔽的問題上。為了增加準確率，我們使用線性識別分析(LDA)此方法來分析我們從物體局部偵測器上所得到的特徵值。在本篇論文的實驗結果中，我們提出的新的串聯(cascade)架構用在行人偵測中，遇到被物體部分遮蔽的問題時，跟其他方法在偵測效率上比較起來，能夠有更好的結果。

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