When overpopulated cities face frequent crowded events like strikes, demonstrations,
parades or other sorts of people gatherings, they are confronted to multiple security issues …

The performance of single cue object tracking algorithms may degrade due to complex
nature of visual world and environment challenges. In recent past, multicue object tracking …

A method for tracking the position, orientation, and height of persons in large public
environments is presented. Such a piece of information is known to be useful both for …

The detection and tracking of moving objects is an essential task in robotics. The CMU‐RI
Navlab group has developed such a system that uses a laser scanner as its primary sensor …

In this paper, we address the problem of realizing a human following task in a crowded
environment. We consider an active perception system, consisting of a camera mounted on …

Acquiring the accurate three-dimensional (3-D) position of a target person around a robot
provides valuable information that is applicable to a wide range of robotic tasks, especially …

Social robots should be able to search and track people in order to help them. In this paper
we present two different techniques for coordinated multi-robot teams for searching and …

Tracking objects in videos using the mean shift technique has attracted considerable
attention. In this work, a novel approach for global target tracking based on mean shift …

Fusion of laser range finder (LRF) and camera is widely used in the field of intelligent mobile
robots for performing various tasks, such as autonomous navigation, 2D or 3D mapping …

Acquiring the accurate 3-D position of a target person around a robot provides fundamental
and valuable information that is applicable to a wide range of robotic tasks, including home …