Automated analysis of 3-D shape and surface strain distributions of a moving object using stereo vision

1993 ◽  
Vol 18 (3) ◽  
pp. 195-212 ◽  
Author(s):  
Y. Morimoto ◽  
M. Fujigaki
Keyword(s):  
Stereo Vision ◽  
Automated Analysis ◽  
Moving Object ◽  
Surface Strain

scholarly journals Autonomous stereo vision system for depth computation of moving object

2021 ◽  
Author(s):  
Alejandro Emerio Alfonso Oviedo
Keyword(s):  
Stereo Vision ◽  
Background Subtraction ◽  
Vision System ◽  
Moving Object ◽  
Depth Information ◽  
Processing Unit ◽  
First Order ◽  
Real World Application ◽  
Stereoscopic View ◽  
Mean Filter

This work targets one real world application of stereo vision technology: the computation of the depth information of a moving object in a scene. It uses a stereo camera set that captures the stereoscopic view of the scene. Background subtraction algorithm is used to detect the moving object, supported by the recursive filter of first order as updating method. Mean filter is the pre-processing stage, combined with frame downscaling to reduce the background storage. After thresholding the background subtraction result, the binary image is sent to the software processing unit to compute the centroid of the moving area, and the measured disparity, estimate the disparity by Kalman algorithm, and finally calculate the depth from the estimated disparity. The implementation successfully achieves the objectives of resolution 720p, at 28.68 fps and maximum permissible depth error of ±4 cm (1.066 %) for a depth measuring range from 25 cm to 375 cm.

A Cooperative Aerial Robotic Approach for Tracking and Estimating the 3D Position of a Moving Object by Using Pseudo-Stereo Vision

2019 ◽  
Vol 96 (2) ◽  
pp. 297-313 ◽  
Author(s):  
J. C. Trujillo ◽  
R. Munguía ◽  
E. Ruiz-Velázquez ◽  
B. Castillo-Toledo
Keyword(s):  
Stereo Vision ◽  
Moving Object ◽  
Robotic Approach

Moving Object Detection, Localization and Tracking Using Stereo Vison System

2015 ◽  
Vol 236 ◽  
pp. 134-141 ◽  
Author(s):  
Bogdan Żak ◽  
Stanisław Hożyń
Keyword(s):  
Object Detection ◽  
Stereo Vision ◽  
Moving Object Detection ◽  
Moving Object ◽  
The Novel ◽  
Detection And Tracking ◽  
Series Of Experiments ◽  
Objects Detection ◽  
Proper Operation ◽  
Localization And Tracking

The aim of this study was to design an moving object detection, localization and tracking algorithm able to detect, localize and track especially humans and vehicles. We focused on triangulation techniques to calculate the position of the detected objects in a stereo vision rig coordinates frame. For objects detection and tracking the novel algorithm, based on statistical image processing methods, was proposed. Verification of a proper operation of the elaborated method was made by conducting series of experiments. Our results indicate that the algorithm localizes, detects and tracks objects accurately for the most tested conditions.

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