关键词: 行人重识别, CN特征, 特征融合, 直方图

Abstract: Existing methods in person re-identification cannot describe the pedestrian well for significant intra-class variations in illumination and viewpoint. In order to solve this problem, a method based on feature fusion is proposed. Firstly, the image is pre-processed using the Rentiex algorithm. Then the CN feature is combined with the color and texture features. Histograms are extracted through regional and block partition, and then the feature of image is obtained. Finally, person re-identification is performed on four public datasets with different metric learning methods. The experimental results show that the feature combined with CN achieves a stronger representation and increases the accuracy obviously.

Key words: person re-identification, CN feature, feature fusion, histogram