|Description (include details on usage, files and paper references)||Daimler Multi-Cue, Occluded Pedestrian Classification Benchmark
Training and test samples have a resolution of 48 x 96 pixels with a 12-pixel border around the pedestrians. Note, that the experiments in our paper (see above) were done on 36 x 84 pixel images with a border of 6 pixels, i.e. crops of the provided dataset, with a three-component layout corresponding to head, torso, legs. For publication of the dataset, we chose to provide images with a larger border and without a pre-defined component layout, to allow for higher flexibility in the selection of components.
M. Enzweiler, A. Eigenstetter, B. Schiele and D. M. Gavrila,
Multi-Cue Pedestrian Classification with Partial Occlusion Handling,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010