LOMO Feature Extraction and XQDA Metric Learning for Person Re-identification

Programming Language
Operating System
Shengcai Liao, Yang Hu, Xiangyu Zhu, and Stan Z. Li, "Person Re-identification by Local Maximal Occurrence Representation and Metric Learning." In IEEE International Conference on Computer Vision and Pattern Recognition, June 7-12, Boston, Massachusetts, USA, 2015.
3 votes
This MATLAB package provides the LOMO feature extraction and the XQDA metric learning algorithms proposed in our CVPR 2015 paper. It is fast, and effective for person re-identification. For more details, as well as downloads of extracted features on several person re-identification databases, please visit http://www.cbsr.ia.ac.cn/users/scliao/projects/lomo_xqda/.
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