The purpose of this project is to propose and implement a system for object localization using a stereo vision - two cameras. The system computes the position of the cameras relatively to each other using a calibration pattern. Then a user selects an object to track. Different algorithms can be used for tracking. Both detection-based and sequence-based approaches can be used. When the object is found in the view of both cameras, the system estimates a position of the object in three-dimensional space using triangulation and displays the results live
In this chapter, a smart framework is presented for the object localization on a given ground-plane ...
This thesis describes our efforts to tackle the 3D localization problem for unmanned vehicles using ...
To be able to determine the position of a static object in 3D space by means of computer vision, it ...
The first part deals with a design of simple pattern system that would allow tracking position of th...
This report describes a stereo vision system to be used on a mobile robot. The system is able to tri...
In this thesis, the development of a stereo camera system for an intelligent tool is presented. The ...
Photographs taken of an event can be useful when analyzing the event. However, photographs can only ...
Locating objects is a common problem in geometric computer vision. The goal is to determine the coor...
This study presents a software system which is capable of detecting and estimating the position of t...
Many strategies for localization have been proposed, the majority of which rely on distance calculat...
This paper aims at making a contribution to a typical recognition scheme by means of providing posit...
Abstract — This paper describes our stereo vision method which is combining an omnidirectional and a...
Object tracking in 3D environment using stereo camera In this paper we address the problem of object...
We introduce a real-time object positioning system that naturally combines detection, tracking, and ...
In creating a robotic system capable of autonomously making decisions based on an environment, it mu...
In this chapter, a smart framework is presented for the object localization on a given ground-plane ...
This thesis describes our efforts to tackle the 3D localization problem for unmanned vehicles using ...
To be able to determine the position of a static object in 3D space by means of computer vision, it ...
The first part deals with a design of simple pattern system that would allow tracking position of th...
This report describes a stereo vision system to be used on a mobile robot. The system is able to tri...
In this thesis, the development of a stereo camera system for an intelligent tool is presented. The ...
Photographs taken of an event can be useful when analyzing the event. However, photographs can only ...
Locating objects is a common problem in geometric computer vision. The goal is to determine the coor...
This study presents a software system which is capable of detecting and estimating the position of t...
Many strategies for localization have been proposed, the majority of which rely on distance calculat...
This paper aims at making a contribution to a typical recognition scheme by means of providing posit...
Abstract — This paper describes our stereo vision method which is combining an omnidirectional and a...
Object tracking in 3D environment using stereo camera In this paper we address the problem of object...
We introduce a real-time object positioning system that naturally combines detection, tracking, and ...
In creating a robotic system capable of autonomously making decisions based on an environment, it mu...
In this chapter, a smart framework is presented for the object localization on a given ground-plane ...
This thesis describes our efforts to tackle the 3D localization problem for unmanned vehicles using ...
To be able to determine the position of a static object in 3D space by means of computer vision, it ...