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Found 4 papers, 1 papers with code
Motion Magnification Algorithms for Video-Based Breathing Monitoring
In this paper, we present two video processing techniques for contact-less estimation of the Respiratory Rate (RR) of framed subjects.
Maximum Likelihood Speed Estimation of Moving Objects in Video Signals
The proposed method is composed of a sequence of pre-processing operations, that aim to reduce or neglect perspetival effects affecting the objects of interest, followed by the estimation phase based on the Maximum Likelihood (ML) principle, where the speed of the foreground objects is estimated.
Reinforcement Learning for Channel Coding: Learned Bit-Flipping Decoding
In this paper, we use reinforcement learning to find effective decoding strategies for binary linear codes.
Markov Chain Modeling and Simulation of Breathing Patterns
The presented CTMC statistical model can be strategic to describe realistic breathing patterns and devise simulators useful to develop and test novel and effective video processing-based monitoring systems.
