We present here our attributes ground-truth labels, as used in the below publications. Attributes are a compelling representation for re-identification; they're low-dimensional, often easy to classify, and lastly they are quite compatible with other standard tools such as distance-metric learning and transfer.
We present here our attribute ground-truths from our BMVC2012 and recent Springer publications:
R. Layne, T.M. Hospedales and S. Gong
In Gong, Cristani, Yan, Loy (Eds.), Person Re-Identification, Springer, December 2013