CAMPUS-Human Dataset
Description
This database includes general and realistic challenges for people re-identification in surveillance. We record videos using 3 cameras from different views and extract individuals as well as video shots within the videos. We also annotate the body part configurations for each query instance and annotate ID and locations (bounding box) for each video shot. In total, there are 370 reference images (normalized to 175 pixels in height), for 74 individuals, with IDs and locations provided. We extract 214 shots (640 x 360) containing 1519 target individuals. Note that the targets often appear with diverse poses/views or occluded by other people within the scenarios.
Citation
Yuanlu Xu, Liang Lin*, Wei-Shi Zheng, and Xiaobai Liu, “Human Re-identification by Matching Compositional Template with Cluster Sampling”, Proc. of IEEE International Conference on Computer Vision (ICCV), 2013
