BGaitR-Net: an effective neural model for occlusion reconstruction in gait sequences by exploiting the key pose information
Gait recognition in the presence of occlusion is a challenging problem and the solutions proposed to date either lack robustness or depend on several unrealistic constraints. In this work, we propose a Deep Learning framework to detect and reconstruct the occluded frames in a gait sequence. Initiall...
Main Authors: | Kumar, Somnath Sendhil, Singh, Binit, Chattopadhyay, Pratik, Halder, Agrya, Wang, Lipo |
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Other Authors: | School of Electrical and Electronic Engineering |
Format: | Journal Article |
Language: | English |
Published: |
2024
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/180136 |
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