Real-Time Video Surveillance Research Activities
Engage in research work focused on attribute-based domain adaptive person re-identification for real-time video surveillance. Tasks include rewriting, conducting more ablation studies, creating a small ReID dataset, and reading papers from the multi-view, multi-person field. Current learning involves 3D human pose estimation and continuous reorganization to complete the TII paper.
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Presentation Transcript
Weekly Report Ge Cao caoge@islab.ulsan.ac.kr Sept. 26th, 2023
Activities Research work: TII paper Attribute-Based Domain Adaptive Person Re-Identification for Real-Time Video Surveillance Rewriting More ablation study Construct a small ReID dataset for T-SNE Residence Center for entry and exit certificate Read papers from multi-view multi-person field NeurIPS-2021: direct-multi-view-multi-person-3d-pose-estimation ECCV2020: VoxelPose: Towards Multi-Camera 3D Human Pose Estimation in Wild Environment Download panoptic follow VoxelPose This week Continue reorganizing and trying to finsih the TII paper Continue 3D HPE learning
