Deep Ranking Model by Large Adaptive Margin Learning for Person Re-identification.

•A novel distance metric aiming at preserving a large adaptive margin, which is more appropriate for dynamic feature space, is proposed.•A novel part-based deep architecture is build to extract the discriminative feature representation of different body parts.•The final results outperform the state-of-the-art methods on all the four challenging benchmark datasets.