Evaluating sport projects which promote social inclusion for young people: a case study

[EN] This work presents the findings of a participatory research program evaluating the outcomes of an Italian sports program for minors at risk. Using a participatory evaluation approach enabled an evaluation-research close to the real objectives and useful for monitoring and e-planning actions, starting from an initial exploration of the different stakeholders’ views of the project itself. The research design is presented in the form of a case study, emphasizing the continuous involvement of the project’s stakeholders in the evaluation process. The outcomes here presented make evident how the participatory evaluation project allowed a targeted and ongoing monitoring at group level as well as at individual level with the minors involved in the project.

On the use of a low-cost thermal sensor to improve kinect people detection in a mobile robot

[EN]Detecting people is a key capability for robots that operate in populated environments. In this paper, we have adopted a hierarchical approach that combines classifiers created using supervised learning in order to identify whether a person is in the view-scope of the robot or not. Our approach makes use of vision, depth and thermal sensors mounted on top of a mobile platform.

Multi-Sensor people counting

[EN]An accurate estimation of the number of people entering / leaving a controlled area is an interesting capability for automatic surveil- lance systems. Potential applications where this technology can be ap- plied include those related to security, safety, energy saving or fraud control. In this paper we present a novel con guration of a multi-sensor system combining both visual and range data specially suited for trou- blesome scenarios such as public transportation. The approach applies probabilistic estimation lters on raw sensor data to create intermediate level hypothesis that are later fused using a certainty-based integration stage. Promising results have been obtained in several tests performed on a realistic test bed scenario under variable lightning conditions.

People semantic description and re-identification from point cloud geometry

The automatic extraction of biometric descriptors of anonymous people is a challenging scenario in camera networks. This task is typically accomplished making use of visual information. Calibrated RGBD sensors make possible the extraction of point cloud information. We present a novel approach for people semantic description and re-identification using the individual point cloud information. The proposal combines the use of simple geometric features with point cloud features based on surface normals.