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Freezing front velocity estimation using image processing techniques
(Elsevier B.V., 2020-02)
Freeze concentration is a promising water purification technology due to its low energy consumption when compared with traditional procedures such as evaporation. Crystal growth velocity is an important parameter for the ...
Application of convolutional neural networks for fall detection using multiple cameras
(Springer, 2020)
Currently one of the most important research issue for artificial intelligence and computer vision tasks is the recognition of human falls. Due to the current exponential increase in the use of cameras is it common to use ...
A non-contact heart rate estimation method using video magnification and neural networks
(Institute of Electrical and Electronics Engineers Inc., 2020-06)
Heart rate (HR) monitoring is a significant task in many medical, sports and aged care in assisted living applications, among other disciplines. In the literature, several works have reported effectiveness in addressing ...
Vision-based analysis on leaves of tomato crops for classifying nutrient deficiency using convolutional neural networks
(Institute of Electrical and Electronics Engineers Inc., 2020)
Tomato crops are one of the most important agricultural products at economic level in the world. However, the quality of the tomato fruits is highly dependent to the growing conditions such as the nutrients. One of ...
Vision-based autonomous navigation with evolutionary learning
(Springer Science and Business Media Deutschland GmbH, 2020-09-07)
In this paper, we propose a vision-based autonomous robotics navigation system, it uses a bio-inspired optical flow approach using the Hermite transform and a fuzzy logic controller, the input membership functions were ...
A perceptive watermarking approach applied to COVID-19 imaging data
(SPIE, 2020-11-03)
This work presents a watermarking algorithm applied to medical images of COVID-19 patients. The principal objective is to protect the information of the patient using an imperceptible watermarking and to preserve its ...
Non-contact breathing rate monitoring system using a magnification technique and artificial hydrocarbon networks
(SPIE, 2020)
In this paper, we present a new non-contact strategy to estimate the breathing rate based on the Eulerian motion video magnification technique and an Artificial Hydrocarbon Networks (AHN) as classifier. After the magnification ...
Stair climbing robot based on convolutional neural networks for visual impaired
(Institute of Electrical and Electronics Engineers Inc., 2020-07-15)
When a person loses the sense of sight, in general, it is suggested to use a white cane to perform daily activities. However, using a white cane limits the movement of a person. In addition, guide dogs can be served in ...