Marco Carraro

2 accepted papers

2017

Fast and robust detection of fallen people from a mobile robot

Morris Antonello, Marco Carraro, Marco Pierobon, Emanuele Menegatti

IROS 2017poster

This paper deals with the problem of detecting fallen people lying on the floor by means of a mobile robot equipped with a 3D depth sensor. In the proposed algorithm, inspired by semantic segmentation techniques, the 3D scene is over-segmented into small patches. Fallen people are then detected by m…

Cited by 38 Source ↗Scholar ↗

2017

Robust multiple object tracking in RGB-D camera networks

Yongheng Zhao, Marco Carraro, Matteo Munaro, Emanuele Menegatti

IROS 2017poster

This paper presents a fast and robust multiple object tracking algorithm based on an RGB-D version of the MeanShift tracking algorithm and exploiting RGB-D camera networks when multiple RGB-D sensors are available. The original Mean-Shift algorithm has been improved in three ways. First, a color-dep…

Cited by 14 Source ↗Scholar ↗