Synchronized dual camera vision system for locating and identify highly dynamic objects
College
Gokongwei College of Engineering
Department/Unit
Manufacturing Engineering and Management
Document Type
Article
Source Title
Journal of Advanced Computational Intelligence and Intelligent Informatics
Volume
18
Issue
5
First Page
776
Last Page
783
Publication Date
9-1-2014
Abstract
This paper presents machine vision for locating and identifying 23 highly dynamic objects on 4.4 meters by 2.8 meters micro robot soccer playing field. The approach is based from the idea that the two camera vision subsystems should be synchronized and well informed in real time of the combined vision data and a selection of objects to track under each other's camera view. A measure of effectiveness on using incremental tracking for two-camera operation is developed and is used to evaluate the introduced approach through experimentation. A real-time visualization of the whole playfield containing the 22 micro robots and a golf ball is also provided for the system operator to validate the objects' actual poses with the vision system's measurements. Results show that the proposed technique is very fast, accurate, reliable, and robust to external disturbances. © 2014, Fuji Technology Press. All rights reserved.
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Digitial Object Identifier (DOI)
10.20965/jaciii.2014.p0776
Recommended Citation
Gunay, N. S., Dadios, E. P., Vicerra, R. P., Bandala, A. A., & Gan Lim, L. A. (2014). Synchronized dual camera vision system for locating and identify highly dynamic objects. Journal of Advanced Computational Intelligence and Intelligent Informatics, 18 (5), 776-783. https://doi.org/10.20965/jaciii.2014.p0776
Disciplines
Manufacturing | Mechanical Engineering
Keywords
Computer vision; Real-time control; Robotics in sports
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