Abstract
The ultimate goal of Computer Vision has been, for more than half of century, to create an artificial vision system that could imitate the human vision. The artificial vision system should have all the capabilities of the human vision system but must not carry the same flaws. Robotics and Automation are just two examples of research areas that use artificial vision systems as the main sensorial element. In these areas, the use of color-coded objects is very common since it relieves the burden of information processing while being an unobtrusive restraint of the environment. We present a novel computer vision library called UAVision that provides support for different video sensors technologies and all the necessary software for implementing an artificial vision system for the detection of color-coded objects. The experimental results that we present, both for the scenario of robotic soccer games and for traffic sign detection, show that our library can work at more than 50fps with images of 1 megapixel.
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Neves, A.J.R., Trifan, A., Cunha, B. (2014). UAVision: A Modular Time-Constrained Vision Library for Color-Coded Object Detection. In: Zhang, Y.J., Tavares, J.M.R.S. (eds) Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications. CompIMAGE 2014. Lecture Notes in Computer Science, vol 8641. Springer, Cham. https://doi.org/10.1007/978-3-319-09994-1_35
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DOI: https://doi.org/10.1007/978-3-319-09994-1_35
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-09993-4
Online ISBN: 978-3-319-09994-1
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