Deeply-Learned Part-Aligned Representations for Person Re-identification
Deeply-Learned Part-Aligned Representations for Person Re-identification
In this paper, we address the problem of person re-identification, which refers to associating the persons captured from different cameras. We propose a simple yet effective human part-aligned representation for handling the body part misalignment problem. Our approach decomposes the human body into regions (parts) which are discriminative for person …