Pose-Invariant Embedding for Deep Person Re-Identification
Pose-Invariant Embedding for Deep Person Re-Identification
Pedestrian misalignment, which mainly arises from detector errors and pose variations, is a critical problem for a robust person re-identification (re-ID) system. With poor alignment, the feature learning and matching process might be largely compromised. To address this problem, this paper introduces pose-invariant embedding (PIE) as a pedestrian descriptor. First, …