A Real-Time Stereo-Vision System For Moving Object and Obstacle Detection in AVG and AMR Applications

2006 ◽  
Author(s):  
P. Foggia ◽  
A. Limongiello ◽  
M. Vento
Keyword(s):  
Real Time ◽  
Stereo Vision ◽  
Vision System ◽  
Obstacle Detection ◽  
Moving Object ◽  
Stereo Vision System

A Real-Time Stereo Vision System for Obstacle Detection and Recognition

2012 ◽  
Author(s):  
Ta-Te Lin ◽  
An-Chih Tsai ◽  
Kai-Chiang Chuang ◽  
Yu-Chou Chen ◽  
Yu-Sung Chen
Keyword(s):  
Real Time ◽  
Stereo Vision ◽  
Vision System ◽  
Obstacle Detection ◽  
Stereo Vision System ◽  
Detection And Recognition

The visual tracking system using a stereo vision robot

2014 ◽  
Vol 31 (8) ◽  
pp. 1790-1799 ◽  
Author(s):  
Long-Jyi Yeh ◽  
Tsung Han Lee ◽  
Kuei-Shu Hsu
Keyword(s):  
Real Time ◽  
Stereo Vision ◽  
Vision System ◽  
Moving Object ◽  
Hand Tracking ◽  
Moving Target ◽  
Content Type ◽  
3D Environment ◽  
Stereo Vision System ◽  
Normal Environment

Purpose – The purpose of this paper is to use vision stereo to simultaneously acquire image pairs under a normal environment. Then the methods of moving edges detection and moving target shifting are applied to reduce noise error in order to position a target efficiently. The target is then double confirmed via image merge and alignment. After positioning, the visual difference between the target and the image created by the stereo vision system is measured for alignment. Finally, the image depth of the target is calculated followed by real-time target tracking. Design/methodology/approach – This study mainly applies Sobel image principle. In addition, moving edges detection and moving target shifting are also used to work with system multi-threading for improving image identification efficiency. Findings – The results of the experiment suggest that real-time image tracking and positioning under a pre-set environment can be effectively improved. On the other hand, tracking and positioning are slightly affected under a normal environment. Errors of distance measurements occur because there is more noise existing. Research limitations/implications – This study mainly determines the movements and positioning of an object or a target via image. However, the stability of moving edges detection executed by the stereo vision system can be affected if the light sources in an environment are too strong or extreme. Practical implications – So far the method of tracking and positioning a moving object has been applied to surveillance systems or the application which requires measuring and positioning under a normal environment. The method proposed by this study can also be used to construct a 3D environment. Originality/value – The method proposed by this study can also be used to construct a 3D environment or tracking moving object to measure the distance.

An FPGA-based real-time occlusion robust stereo vision system using semi-global matching

2019 ◽  
Vol 17 (5) ◽  
pp. 1447-1468 ◽  
Author(s):  
Lucas F. S. Cambuim ◽  
Luiz A. Oliveira ◽  
Edna N. S. Barros ◽  
Antonyus P. A. Ferreira
Keyword(s):  
Real Time ◽  
Stereo Vision ◽  
Vision System ◽  
Stereo Vision System ◽  
Global Matching

A Real-Time Stereo Vision System for Obstacle Recognition and Motion Estimation

2013 ◽  
Author(s):  
Ta-Te Lin ◽  
Kai-Chiang Chuang ◽  
An-Chih Tsai ◽  
Yu-Sung Chen
Keyword(s):  
Motion Estimation ◽  
Real Time ◽  
Stereo Vision ◽  
Vision System ◽  
Stereo Vision System

Low-cost FPGA stereo vision system for real time disparity maps calculation

2012 ◽  
Vol 36 (4) ◽  
pp. 281-288 ◽  
Author(s):  
Paolo Zicari ◽  
Stefania Perri ◽  
Pasquale Corsonello ◽  
Giuseppe Cocorullo
Keyword(s):  
Real Time ◽  
Stereo Vision ◽  
Vision System ◽  
Low Cost ◽  
Stereo Vision System ◽  
Disparity Maps
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