針對第5 百分位(身材矮小)成年女性與第50 百分位(平均身材)成年男性等不同類型的乘員，建立基于低成本CMOS 攝像機(jī)的汽車乘員分類視覺檢測系統(tǒng)及其智能模式識別算法。通過建立乘員圖像測量空間的圖像預(yù)處理算法和乘員邊緣檢測算法，利用Legendre 矩描述乘員特征空間的乘員邊緣主特征，以及建立基于BP 神經(jīng)網(wǎng)絡(luò)的乘員類型空間模式分類器，實(shí)現(xiàn)不同乘員類型的模式分類。
關(guān)鍵詞：智能汽車乘員約束系統(tǒng)；汽車乘員分類視覺檢測算法；Legendre 矩；BP 神經(jīng)網(wǎng)絡(luò)

【Abstract】This paper builds a vision sensor for occupant classification based on low cost CMOS camera and an intelligent pattern recognition
algorithm, which focuses on the 5th female(runty female) and the 50th male(average stature male), etc. The image pretreatment algorithm and
occupant image edge detection algorithm are founded. The critical properties of occupant edge are described by Legendre moment. The pattern
classifier based on the BP neural network is set up. The pattern classification of different occupant types is realized.
【Key words】intelligent occupant restraint system; occupant classification vision detection algorithm; Legendre moment; BP neural network