IAS-Lab RGBD-ID Dataset

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Domenica, 21 Luglio 2013 17:27

Matteo Munaro

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The IAS-Lab RGBD-ID Dataset is a RGB-D dataset of people targeted to long-term people re-identification from RGB-D cameras.

It contains 11 training and 22 testing sequences of 11 different people. The dataset includes synchronized RGB images, depth images, persons' segmentation maps and skeletal data (as provided by OpenNI SDK), in addition to the ground plane coordinates. These videos have been acquired at about 30fps.

For every subject, we recorded three sequences, where the person rotates on himself and performs some walks. The first (Training) and the second (TestingA) sequences were acquired with people wearing different clothes, while the third one (TestingB) was collected in a different room, but with the same clothes as in the first sequence. These two different testing sets allow to validate both short-term and long-term re-identification techniques on this dataset.

Since NiTE skeletal tracking often poorly estimates the whole skeleton when some joints are not visible, we kept only those frames where all the joints are marked as tracked by the algorithm.

All the samples in the IAS-Lab RGBD-ID Dataset are provided as folders with 4 different files for every frame:

rgb image (640x480 resolution)
depth image (640x480 resolution)
user map (640x480 resolution)
txt file with skeleton tracker joint position and links orientation (estimated with NiTE middleware)

Moreover, a further txt file with ground plane coefficients is provided for every folder.

For questions and remarks directly related to the IAS-Lab RGBD-ID dataset please contact Questo indirizzo email è protetto dagli spambots. È necessario abilitare JavaScript per vederlo..