Moving Object Detection and Localization Using Stereo Vision System

2015 ◽  
pp. 417-424
Author(s):  
Bogdan Żak ◽  
Stanisław Hożyń
Keyword(s):  
Object Detection ◽  
Stereo Vision ◽  
Vision System ◽  
Moving Object Detection ◽  
Moving Object ◽  
Stereo Vision System ◽  
Detection And Localization

Performance Evaluation of a Low-Cost Stereo Vision System for Underwater Object Detection

2014 ◽  
Vol 47 (3) ◽  
pp. 3388-3394 ◽  
Author(s):  
Oleari Fabio ◽  
Kallasi Fabjan ◽  
Lodi Rizzini Dario ◽  
Aleotti Jacopo ◽  
Caselli Stefano
Keyword(s):  
Performance Evaluation ◽  
Object Detection ◽  
Stereo Vision ◽  
Vision System ◽  
Low Cost ◽  
Stereo Vision System ◽  
Underwater Object

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.

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.

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