Datasets
Daimler
Multi-Cue, Occluded Pedestrian Classification
Benchmark
M.
Enzweiler and D. M. Gavrila.
A Multi-Level Mixture-of-Experts Framework for Pedestrian
Classification.
IEEE Transactions on Image Processing, in press, 2011.
M. Enzweiler, A. Eigenstetter, B. Schiele and D. M.
Gavrila.
Multi-Cue Pedestrian Classification with Partial Occlusion
Handling.
Proc. of the IEEE Conference on Computer Vision and Pattern
Recognition (CVPR), San Francisco, USA, 2010.
This benchmark dataset (training and test data) is made
available for non-commercial purposes.
See
this page
for download and more information on the benchmark dataset.
Daimler Mono Pedestrian Detection Benchmark
M. Enzweiler and D. M. Gavrila. Monocular Pedestrian Detection: Survey and Experiments. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 31, no. 12, pp. 2179-2195, 2009.
Daimler Stereo Pedestrian Detection Benchmark
C. Keller, M. Enzweiler and D. M. Gavrila. A New Benchmark for Stereo-Based Pedestrian Detection. Proc. IEEE Intelligent Vehicles Symposium, 2011.
The mono and stereo benchmark datasets (training and test
data) are made available for non-commercial purposes.
See
this page
for download and more information on the pedestrian
detection benchmark datasets.