Abstract：The metric algorithm for person re-identification to compute similarity of the image pairs is mostly based on the discriminant information of themselves rather than the discriminant information of other images related to them. Therefore, a metric method is proposed to fuse direct metric and indirect metric by weighing them. Firstly, the local maximal occurrence feature and salient color name feature of the images are extracted, and two features are fused as the final feature of the image. Then, the direct similarity and the indirect similarity of two images are calculated respectively. Finally, the sequence sorting method is further proposed to obtain the weights by training the database samples, and thus the final similarity of two images is acquired. The experimental results on Market-1501 database and CUHK03 database show that the recognition ability of fusion metric is obviously higher than that of the single metric.
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2018, Vol. 31 
