DukeMTMC-VideoReID is a dataset for video-based person re-identification. It is a subset of the DukeMTMC dataset. The dataset consists of 702 identities for training, 702 identities for testing, and 408 identities as distractors. In total there are 2,196 videos for training and 2,636 videos for testing. Each video contains person images sampled every 12 frames.

Related datasets

Related publications:

  • Yu Wu, Yutian Lin, Xuanyi Dong, Yan Yan, Wanli Ouyang, Yi Yang, "Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by Stepwise Learning", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
  • Ergys Ristani, Francesco Solera, Roger S. Zou, Rita Cucchiara, Carlo Tomasi, "Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking", European Conference on Computer Vision (ECCV) workshop on Benchmarking Multi-Target Tracking, 2016.