Publications related to Motion compensation

Unpredictability does not hamper nonretinotopic motion perception

The motion of parts of an object is usually perceived relative to the object, i.e., nonretinotopically, rather than in retinal coordinates. For example, we perceive a reflector to rotate on the wheel of a moving bicycle even though its trajectory is cycloi ...

Association for Research in Vision and Ophthalmology (ARVO)2017

Discrete-Time Domain Modeling of Voltage Source Inverters in Standalone Applications: Enhancement of Regulators Performance by Means of Smith Predictor

Francisco Daniel Freijedo Fernández, Federico De Bosio

The decoupling of the capacitor voltage and inductor current has been shown to improve significantly the dynamic performance of voltage source inverters in standalone applications. However, the computation and pulse width modulation delays still limit the ...

Ieee-Inst Electrical Electronics Engineers Inc2017

Bistability, Oscillations, and Bidirectional Motion of Ensemble of Hydrodynamically Coupled Molecular Motors

We analyze the collective behavior of hydrodynamically coupled molecular motors. We show that the local fluxes induced by motor displacement can induce the experimentally observed bidirectional motion of cargoes and vesicles. By means of a mean-field appro ...

Amer Physical Soc2017

Robust heart rate estimation using wrist-type photoplethysmographic signals during physical exercise: an approach based on adaptive filtering

Jean-Marc Vesin, Sibylle Fallet

Photoplethysmographic (PPG) signals are easily corrupted by motion artifacts when the subjects perform physical exercise. This paper introduces a two-step processing scheme to estimate heart rate (HR) from wrist-type PPG signals strongly corrupted by motio ...

Institute of Physics2017

Unsupervised Learning of Long-Term Motion Dynamics for Videos

Alexandre Massoud Alahi

We present an unsupervised representation learning approach that compactly encodes the motion dependencies in videos. Given a pair of images from a video clip, our framework learns to predict the long-term 3D motions. To reduce the complexity of the learni ...

2017

Piezoelectric Nanoelectromechanical Systems

Luis Guillermo Villanueva Torrijo, Annalisa De Pastina, Tom Larsen, Andrea Lozzi, Kaitlin Marie Howell, Muhammad Faizan

In this paper we describe five different transduction techniques for the motion of NEMS resonators. We describe how these techniques differ from those used for MEMS and how centrosymmetric or amorphous materials can be used to fabricate NEMS. ...

2017

Direct Prediction of 3D Body Poses from Motion Compensated Sequences

Pascal Fua, Vincent Lepetit, Bugra Tekin, Artem Rozantsev

We propose an efficient approach to exploiting motion information from consecutive frames of a video sequence to recover the 3D pose of people. Previous approaches typically compute candidate poses in individual frames and then link them in a post-processi ...

2016

Adaptive-Rate Reconstruction of Time-Varying Signals with Application in Compressive Foreground Extraction

Volkan Cevher

We propose and analyze an online algorithm for reconstructing a sequence of signals from a limited number of linear measurements. The signals are assumed sparse, with unknown support, and evolve over time according to a generic nonlinear dynamical model. O ...

Institute of Electrical and Electronics Engineers2016

Adaptive-Rate Sparse Signal Reconstruction With Application in Compressive Foreground Subtraction

Volkan Cevher

We propose and analyze an online algorithm for reconstructing a sequence of signals from a limited number of linear measurements. The signals are assumed sparse, with unknown support, and evolve over time according to a generic nonlinear dynamical model. O ...

Institute of Electrical and Electronics Engineers2016

Motion-based nearest vector metric for reference frame selection in the perception of motion

Michael Herzog, Aaron Michael Clarke

We investigated how the visual system selects a reference frame for the perception of motion. Two concentric arcs underwent circular motion around the center of the display, where observers fixated. The outer (target) arc's angular velocity profile was mod ...

Association for Research in Vision and Ophthalmology (ARVO)2016

Motion compensation

Unpredictability does not hamper nonretinotopic motion perception

Discrete-Time Domain Modeling of Voltage Source Inverters in Standalone Applications: Enhancement of Regulators Performance by Means of Smith Predictor

Bistability, Oscillations, and Bidirectional Motion of Ensemble of Hydrodynamically Coupled Molecular Motors

Robust heart rate estimation using wrist-type photoplethysmographic signals during physical exercise: an approach based on adaptive filtering

Unsupervised Learning of Long-Term Motion Dynamics for Videos

Piezoelectric Nanoelectromechanical Systems

Direct Prediction of 3D Body Poses from Motion Compensated Sequences

Adaptive-Rate Reconstruction of Time-Varying Signals with Application in Compressive Foreground Extraction

Adaptive-Rate Sparse Signal Reconstruction With Application in Compressive Foreground Subtraction

Motion-based nearest vector metric for reference frame selection in the perception of motion

Graph Chatbot

Chat with Graph Search

Adaptive-Rate Sparse Signal Reconstruction With Application in Compressive Foreground Subtraction

Direct Prediction of 3D Body Poses from Motion Compensated Sequences

Bistability, Oscillations, and Bidirectional Motion of Ensemble of Hydrodynamically Coupled Molecular Motors

Discrete-Time Domain Modeling of Voltage Source Inverters in Standalone Applications: Enhancement of Regulators Performance by Means of Smith Predictor

Unpredictability does not hamper nonretinotopic motion perception

Piezoelectric Nanoelectromechanical Systems

Motion-based nearest vector metric for reference frame selection in the perception of motion

Adaptive-Rate Reconstruction of Time-Varying Signals with Application in Compressive Foreground Extraction

Robust heart rate estimation using wrist-type photoplethysmographic signals during physical exercise: an approach based on adaptive filtering

Unsupervised Learning of Long-Term Motion Dynamics for Videos