One-Shot Person Re-identification with a Consumer Depth Camera

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Space-Time Representation of People Based on 3D Skeletal Data: A Review (2016, neutral): “Although several skeleton-based representations are also used for human re-identification [57, 58], however, skeleton-based features are usually used along with other shape or texture based features (e.”
Person Recognition in Personal Photo Collections (2017, background): “Datasets include RGBD-ID [41], IAS-Lab RGBD-ID [42], and”
Constructing Stronger and Faster Baselines for Skeleton-Based Action Recognition (2021, methodology): “Following the procedure in [55], four open benchmarks on skeleton-based person ReID are employed, including BIWI [56], IAS-A/IAS-B [57], and KGBD [58].”
Deep Multimodal Data Fusion (2024, background): “…Genome [86], CLEVR [78],FVQA [184] Object Recognition RGB + Depth SUN RGB-D [164], NYU Depth V1 and V2 [130, 161], RobotPKU [105], B3DO [71], BIWI [127], Object Detection/ Semantic Segmentation RGB+LiDAR KITTI [49], Urban [17], KAIST [72], RobortCar [114], US3D [40] College [146], H3D [84] Human…”
Reinforced Temporal Attention and Split-Rate Transfer for Depth-Based Person Re-identification (2017, methodology): “Next, we report results from [6,59], who use hand-crafted features based on biometrics, such as distances between skeleton joints.”