基于DDAG支持向量机的汽车车型识别

Recognitio of vehicle types based on DDAGSVM

文章应用DDAG支持向量机方法对汽车图像进行识别。首先采用背景差分方法提取运动汽车,然后用Otsu法进行阈值分割、基于边缘阴影检测方法消除阴影,最后提取运动汽车的RST不变特征,输入DDAG支持向量机进行训练和识别。实验表明,基于DDAG支持向量机的车型图像识别算法具有很好的性能。

A method for recognizing vehicle image based on the Decision Directed Acyclic Graph Support Vector Machine. First, background subtraction theory was adopted to extract moving vehicle. And then threshold is segmentate by Otsu method and moving shadow detection based on edge information. At last extracting the feature vectors of the object, then training a SVM to classify vehicle. An experiment showed that the algorithm based on DDAGSVM has better performance.