DukeMTMC-VideoReID
Introduced by Wu et al. in Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by Stepwise Learning
The DukeMTMC-VideoReID (Duke Multi-Tracking Multi-Camera Video-based ReIDentification) dataset is a subset of the DukeMTMC for video-based person re-ID. The dataset is created from high-resolution videos from 8 different cameras. It is one of the largest pedestrian video datasets wherein images are cropped by hand-drawn bounding boxes. The dataset consists 4832 tracklets of 1812 identities in total, and each tracklet has 168 frames on average.
NOTE: This dataset has been retracted.
Source: Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by Stepwise LearningBenchmarks
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DukeMTMC-VideoReID
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AuxUSLReID
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DukeMTMC-VideoReID
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PSTA
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Papers
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