Autonomous surveillance and monitoring of structures is one of the most studied tasks in the past years. In this paper we present an approach in mobile robotic surveillance to detect the presence of people or other moving objects in... more
Autonomous surveillance and monitoring of structures is one of the most studied tasks in the past years. In this paper we present an approach in mobile robotic surveillance to detect the presence of people or other moving objects in scenario and classify them as human body and not human body by stereo vision.
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ABSTRACT Mobility in large touristic cities (such as Rome and Venice), where needs of citizen and tourists are different(and sometimes even conflicting), is a very relevant problem and infomobility is thus increasingly important. Since... more
ABSTRACT Mobility in large touristic cities (such as Rome and Venice), where needs of citizen and tourists are different(and sometimes even conflicting), is a very relevant problem and infomobility is thus increasingly important. Since active technologies, requiring the passengers to wear some devices(e.g., RFID devices) are not commonly available and cannot be enforced on citizens and tourists, a complete passive sensor system is needed. In this paper we describe development and experimentation of techniques for human activity recognition for infomobility applications based on 3D data extracted from stereo and Kinect cameras. More specifically, we considered the problem of automatic estimation of the number of people present in a bus stop area in a crowded city, like Venice and experimented an approach integrating 3D data analysis, feature extraction and machine learning techniques. Results assessing the feasibility and performance of the proposed approaches are also presented in this paper.
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This paper describes results from the RoboCare project, whose aim is to create assistive intelligent en- vironments for older people. The specific goal of the project has been to synthesize a multi-agent system in which robotic, software... more
This paper describes results from the RoboCare project, whose aim is to create assistive intelligent en- vironments for older people. The specific goal of the project has been to synthesize a multi-agent system in which robotic, software and sensory services are integrated to oer cognitive support to the older user at home. The paper describes the technology that has been
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In humanoid robotic soccer, many factors, both at low-level (e.g., vision and motion control) and at high-level (e.g., behaviors and game strategies), determine the quality of the robot performance. In particular, the speed of individual... more
In humanoid robotic soccer, many factors, both at low-level (e.g., vision and motion control) and at high-level (e.g., behaviors and game strategies), determine the quality of the robot performance. In particular, the speed of individual robots, the precision of the trajectory, and the stability of the walking gaits, have a high impact on the success of a team. Consequently, humanoid soccer robots
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In this paper we propose a quick and easy approach to es- timate the undistortion function of RGBD sensors. Our method does not rely on the knowledge of the sensor model, on the use of a specific calibration pattern or on external SLAM... more
In this paper we propose a quick and easy approach to es-
timate the undistortion function of RGBD sensors. Our method does not rely on the knowledge of the sensor model, on the use of a specific calibration pattern or on external SLAM systems to track the device position. We compute a nonparametric approximation of the undistortion function by applying regression methods to calibration data that can be acquired wherever a sufficiently large planar surface is observed. The procedure is fast, easy and be used on-line. Experimental results show a significant improvement when using undistorted images in applications like mapping.
timate the undistortion function of RGBD sensors. Our method does not rely on the knowledge of the sensor model, on the use of a specific calibration pattern or on external SLAM systems to track the device position. We compute a nonparametric approximation of the undistortion function by applying regression methods to calibration data that can be acquired wherever a sufficiently large planar surface is observed. The procedure is fast, easy and be used on-line. Experimental results show a significant improvement when using undistorted images in applications like mapping.