计算机科学 ›› 2017, Vol. 44 ›› Issue (Z11): 221-224.doi: 10.11896/j.issn.1002-137X.2017.11A.046
刘春阳,吴泽民,胡磊,刘熹
LIU Chun-yang, WU Ze-min, HU Lei and LIU Xi
摘要： 在行人检测中,针对目前多通道检测算法特征利用不充分的问题,提出一种基于DCT变换的多通道特征级联的行人检测算法。通过一种2层卷积网络模型将图像信息DCT变换后的数据进行整理,形成新的频域通道特征,该通道能描述行人的复杂纹理特征。结合梯度方向直方图特征、颜色空间特征和DCT频域特征,基于Adaboost算法训练了低开销的多通道特征行人检测器。在典型的公开行人库上的实验结果表明,该方法能提高检测的性能,在较低误检率时效果更加显著。
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