Publications
3DPeS (3D Pe ople S urveillance Dataset) is a new surveillance dataset, designed mainly for people re-identification in multi camera systems with non-overlapped field of views, but also applicable to many other tasks, such as people detection, tracking, action analysis and trajectory analysis.
Differently from other re-identification datasets here data for the complete processing chain are available: the camera setting and the 3D environment reconstruction, the hundreds of recorded videos, the camera calibration parameters, the identity of the hundreds of people, detected more than one time by different point of view.
Dataset web site: 3DPeS