A compact color descriptor for person re-identification with clothing selection from a wardrobe
A compact color descriptor for person re-identification with clothing selection from a wardrobe
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紧凑的颜色描述符，用于通过从衣柜中选择服装来重新识别人员
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
Hiroyoshi Miyano
中科院分区：
文献类型：
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作者：
Yusuke Takahashi;Hiroyoshi Miyano
我们提出了一个紧凑的颜色描述专门表示服装的人重新识别跨相机。它通过从广泛而密集地分布在服装颜色空间中的各种颜色的服装集合中选择一套单色服装的组合来表达任何类型的服装颜色;这被称为衣柜。适当的衣柜可以通过具有各种颜色的服装制造商收集。通过使用L1规则的线性支持向量机学习的系数，从衣柜中有效地选择合适的衣服。在对极具挑战性的VIPeR数据集的评估中，通过将11种分组颜色与最先进的描述符进行比较，证明了我们衣柜的颜色空间覆盖范围更广;相同维度的颜色名称。最后，本文提出的基于L1规则的支持向量机服装选择方法，在降低维数的同时，提高了服装选择的准确性。
We proposed a compact color descriptor specialized in expressing clothing for person re-identification across cameras. It expresses any type of clothing colors by combination of a set of unicolor clothing selected from a collection of various colored clothing widely and densely spread over clothing color space; which is called a wardrobe. Proper wardrobe can be collected through a clothing manufacture having a large variety of colors. Effective selection of proper clothing from the wardrobe is performed by using the coefficients learned by linear SVM with L1 regulation. In the evaluations on the highly challenging VIPeR dataset, wider coverage of color space of our wardrobe is proved by comparing 11 grouped colors with the state-of-the-art descriptor; color names of the same dimension. And the proposed clothing selection by SVM with L1 regulation shows its effectiveness by achieving improvement on accuracy while reducing dimension.