Stereo Vision-Based Human Tracking for Robotic Follower

An Active Stereo Vision-Based Learning Approach for Robotic Tracking, Fixating and Grasping Control

Vision-based robotic tracking, fixating and grasping control depends on many environmental factors in an unknown environment. The robot control systems lack robustness, and the calibration of the CCD cameras is very slow and tedious in the existing methods. Although the binocular cameras can solve some of these problems, it is necessary to rely on the time consuming and complicated 3-D reconstr...

Model-Based Object Tracking Using Stereo Vision

Robust and accurate object recognition and tracking is a necessary pre-requisite for visual servoing tasks. While most approaches use monocular vision in order to solve this problem, this paper presents a new approach using disparity images provided by a stereo vision system from which 3-D models are reconstructed. We use a segmentation procedure based on a simple region growing process to segm...

Intelligent Stereo Vision System for Robotic Applications

This paper describes an intelligent vision method, which is capable of reconstructing the robot environment. Algorithms and their implementation are presented for localising known objects in the scene and determine 3D Euclidean transformation (the relative position and orientation) between recognised objects. This can be done by reconstructing the projective 3D world of the scene and involve th...

Stereo vision-based target tracking system for USV operations

Active stereo vision-based mobile robot navigation for person tracking

In this paper, we propose a mobile robot architecture for person tracking, consisting of an active stereo vision module (ASVM) and a navigation module (NM). The first tracks the person in stereo images and controls the pan/tilt unit to keep the target in the visual field. Its output, i.e. the 3D position of the person, is fed to the NM, which drives the robot towards the target while avoiding o...