The IASLAB-RGBD Fallen Person Dataset consists of several RGB-D frame sequences containing 15 different people. It has been acquired in two different laboratory environments, the Lab A and Lab B. It can be divided into two parts: the former acquired from 3 static Kinect One V2 placed on 3 different pedestals ; the latter from a Kinect One V2 mounted on our healthcare robot prototype, see "An Open Source Robotic Platform for Ambient Assisted Living" by M. Carraro, M. Antonello et al in AIRO at AI*IA 2015.
Both parts are briefly described in the following. They contain the training/test splits of our approach to detect fallen people.
- Folder "raw": 360 RGB frames and point clouds with the camera calibrations;
- Folder "segmented_fallen_people": point clouds of the fallen people. They have been manually segmented;
- Folder "training_with_cad_room_and_nyudv2": random selected positives (70%), 24 point clouds from the Lab A and 31 point clouds from the NYU Depth Dataset V2 by Silberman et al;
- Folder "test_with_lab_room": random selected positives (30%) and 32 point clouds from the Lab B.
- Folder "training": 4 ROS bags with 15932 RGB-D frames in total acquired during 4 robot patrollings of the Lab A;
- Folder "test": 4 ROS bags with 9391 RGB-D frames in total acquired during 4 robot patrollings of the Lab B. This room is more similar to an apartament: spaces are smaller, it is cluttered and contains a sofa;
- Folder "maps": 2D maps of the two environments and ground truth positions of the person centroids in the maps.
In the figures below, some RGB samples from both environments are reported:
IT+Robotics is a spin-off company of the University of Padua. It was created in 2005 by professors working in the field of robotics and young, brilliant people coming from the information engineering department of the University of Padua.
The mission is the technology transfer from University to business. Innovation boosted by cutting edge technology, that was a prerogative of academia only few years ago, is the right way towards growth, and will let us to contrast the current crisis.
The IT+Robotics team, a mix of scientists and developers, is able to provide advanced solutions to the problems, thanks to the experience gained during years of research and industrial development in the field of autonomous robotics: real-time operating systems, artificial vision systems, software agents management, and highly realistic simulations.
The activity at IAS-Lab concerns the study of several fields of Robotics. Our research cover the areas of computer vision, humanoids and wheeled robot programming, virtual simulation, biomechanical model based on human biosignal and wearable robots design for rehabilitation purposes.