Hallway and Lab
Two datasets acquired in the TeV's LAB and in a real open space at FBK. Some people enter the area, walk, stand, interact, sit down and leave the area.
HALLWAY dataset contains recordings taken with four cameras in a FBK large open space equipped with chairs, desks and poster walls. The cameras are distant about 15 meters one from the other, where people’s bodies may appear in some views at resolutions as low as 15×60 pixels.
The sequence is about 5 minutes long with people entering the area, moving, standing still, forming into groups and interacting with each other, sitting in chairs and leaving the area. The maximum number of people in the scene at the same time is 9.
The cameras are frame-synchronized, frame rate for the sequence is 15, image resolution is 800×600 (jpg format).
Ground-truth files (ground positions of people) obtained by manual labeling and camera calibration together with c++ code for using it are also provided.
LAB dataset contains recordings taken with four cameras installed in the corners of a lab environment of dimension 5×6 meters. The sequence is about 3.5 minutes long with people entering the lab, walking around, sitting and leaving the area randomly. The maximum number of people in the scene at the same time is 7.
The cameras are frame-synchronized, frame rate for the sequence is 15, image resolution is 640×480 (jpeg format).
Ground-truth files (ground positions of people) obtained by manual labeling and camera calibration together with c++ code for using it are also provided.
Disclaimer: HALLWAY and LAB datasets can be used for research or academic purposes only. Publications and works that use these datasets should please refer to the paper referenced below.
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publication
H. Tao, S. Messelodi, O. Lanz. Dynamic task decomposition for decentralized object tracking in complex scenes. Computer Vision and Image Understanding, Vol. 134, pp 89-104, 2015 [doi]