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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 ...
Video motion magnification for monitoring of vital signals using a perceptual model
(SPIESociety of Photo-optical Instrumentation Engineers, 2017)
In this paper we present an Eulerian motion magnification technique using a spatial decomposition based on the Steered Hermite Transform (SHT) which is inspired in the Human Vision System (HVS). We test our method in one ...
Heart rate estimation using Hermite transform video magnification and deep learning
(Institute of Electrical and Electronics Engineers Inc., 2018)
Monitoring of heart rate can be used in many medical and sports applications. Lack of portability and connection problems make traditional monitoring methods difficult to use outside of clinical environments. The computer ...
Distance estimation using a bio-inspired optical flow atrategy applied to neuro-robotics
(Institute of Electrical and Electronics Engineers Inc., 2018)
Movement detection and characterization of a 3D scene are relevant tasks in vision systems and particularly in robotic applications controlled by visual features. One of the challenges to characterize a 3D scene in navigation ...
Mobile robot with movement detection controlled by real-time optical flow hermite transform
(Springer International Publishing, 2016)
This chapter presents a new algorithm inspired in the human visual system to compute optical flow in real-time based on the Hermite Transform. This algorithm is applied in a vision-based control system for a mobile robot. ...
An intelligent human fall detection system using a vision-based strategy
(Institute of Electrical and Electronics Engineers Inc., 2019)
Elderly people is increasing dramatically during the current years, and it is expected that this population reaches 2.1 billion of individuals by 2050. In this regard, new care strategies are required. Assisted living ...
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 ...
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 ...
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 ...