|Description (include details on usage, files and paper references)||The RGB-D Person Re-identification dataset is for person re-identification using depth information. The main motivation is that the standard techniques (such as SDALF) fail when the individuals change their clothing, therefore they cannot be used for long-term video surveillance. Depth information is the solution to deal with this problem because it stays constant for a longer period of time.
Person Re-Identification by Symmetry-Driven Accumulation of Local Features, CVPR 2010
Re-identification with RGB-D sensors
Barbosa, B. I. and Cristani, M. and Del Bue, A. and Bazzani, L. and Murino, V. First International Workshop on Re-Identification, 2012
|Tags (single words, spaced)||identification, classification, shape, depth, pedestrian, 3d