scholarly journals Object Tracking with a Multiagent Robot System and a Stereo Vision Camera

2014 ◽  
Vol 69 ◽  
pp. 968-973 ◽  
Author(s):  
Filip Šuligoj ◽  
Bojan Šekoranja ◽  
Marko Švaco ◽  
Bojan Jerbić
Keyword(s):  
Object Tracking ◽  
Stereo Vision ◽  
Robot System

Sliding Mode Controller for Stereo Vision Based Autonomous Flight of Quad-Rotor M

2011 ◽  
Vol 23 (1) ◽  
pp. 137-148 ◽  
Author(s):  
Dwi Pebrianti ◽  
◽  
WeiWang ◽  
Daisuke Iwakura ◽  
Yuze Song ◽  
...  
Keyword(s):  
Object Tracking ◽  
Stereo Vision ◽  
Flight Control ◽  
Background Subtraction ◽  
Sliding Mode ◽  
Vision System ◽  
Sliding Mode Controller ◽  
Model Errors ◽  
Stereo Vision System ◽  
Aerial Vehicle

We have investigated the possibility of a Sliding Mode Controller (SMC) for autonomous hovering and waypoint of a quad-rotor Micro Aerial Vehicle (MAV) based on an on ground stereo vision system. The object tracking used here is running average background subtraction. Among the background subtraction algorithms for object tracking, running average is known to have the fastest processing speed and the lowest memory requirement. Stereo vision system is known to have a good performance in measuring the distance from camera to object without any information regarding the object geometry in advance. SMC is known to have advantage of insensitivity to the model errors, parametric uncertainties and other disturbances. The experiment on autonomous hovering and way-point by using running average method for object tracking and SMC for the flight control shows a reliable result.

A Stereo-Vision Based Object Tracking Approach at Roundabouts

2013 ◽  
Vol 5 (2) ◽  
pp. 22-32 ◽  
Author(s):  
M. Muffert ◽  
D. Pfeiffer ◽  
U. Franke
Keyword(s):  
Object Tracking ◽  
Stereo Vision

scholarly journals Object tracking based stereo vision

2021 ◽  
Vol 1897 (1) ◽  
pp. 012023
Author(s):  
Israa Nasir Alsalhi
Keyword(s):  
Object Tracking ◽  
Stereo Vision

Object Tracking and Positioning Based on Stereo Vision

2013 ◽  
Vol 303-306 ◽  
pp. 313-317 ◽  
Author(s):  
Zhong Wei Zhou ◽  
Min Xu ◽  
Wei Fu ◽  
Ji Zeng Zhao
Keyword(s):  
Object Tracking ◽  
Real Time ◽  
Stereo Vision ◽  
Stereo Matching ◽  
Three Dimensional ◽  
Spatial Location ◽  
Binocular Stereo Vision ◽  
Camshift Algorithm ◽  
Spatial Location Information ◽  
Binocular Stereo

The goal of this paper is to present a method for object tracking and positioning based on stereo vision in real time. The method effectively combined stereo matching algorithm with object tracking algorithm, and calculated the spatial location information of the object by using binocular stereo vision while the object is being tracked. The stereo matching used dynamic programming, image pyramids and control points modification algorithm, and the object tracking mainly utilized CamShift algorithm in this paper. The experimental results have confirmed that the proposed method realized real-time tracking for moving object, accurate calculating for the object three-dimensional coordinates, which meet the applied needs of servo follow-up system.

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