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Person Re-identification based on Two-Stream Network with Attention and Pose Features
2019
IEEE Access
Due to posture, blurring, occlusion, and other problems, person re-identification(Re-ID) remains a challenging task at present. In this paper, we combine the advantages of pose estimation and attention mechanism to better solve these problems with better performance, which combines pose and attention with two-stream network. Our proposed method mainly consists of two parts. 1) Spatial Features with Fusion Multi-Layer Features and Attention: the same pedestrian presents different gestures under
doi:10.1109/access.2019.2935116
fatcat:xx2nbv7yhrghzp2ly6me6pjjcm