Duke Multi-Target, Multi-Camera (DukeMTMC) is a large scale outdoor HD video data set recorded by 8 synchronized cameras on the Duke University campus. The dataset is manually annotated and it consists of:
- 8 static cameras x 85 minutes of 1080p 60 fps video
- More than 2,000,000 manually annotated frames
- More than 7,000 single camera trajectories
- More than 2,000 unique identities
- Unconstrained paths, diverse appearance
The following datasets are extensions of DukeMTMC dataset provided by the community:
- Ergys Ristani, Carlo Tomasi, "Features for Multi-Target Multi-Camera Tracking and Re-Identification", 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.
- Francesco Solera, Simone Calderara, Ergys Ristani, Carlo Tomasi, Rita Cucchiara, "Tracking Social Groups Within and Across Cameras", IEEE Transactions on Circuits and Systems, 2016.
- Ergys Ristani, Carlo Tomasi, "Tracking Multiple People Online and in Real Time", Asian Conference on Computer Vision (ACCV), 2014.