Search Results for author: Francisco Barranco

Found 8 papers, 2 papers with code

Event-based Vision for Early Prediction of Manipulation Actions

1 code implementation26 Jul 2023 Daniel Deniz, Cornelia Fermuller, Eduardo Ros, Manuel Rodriguez-Alvarez, Francisco Barranco

In this study, we introduce an event-based dataset on fine-grained manipulation actions and perform an experimental study on the use of transformers for action prediction with events.

Action Recognition Data Compression +1

Optical flow estimation from event-based cameras and spiking neural networks

1 code implementation13 Feb 2023 Javier Cuadrado, Ulysse Rançon, Benoît Cottereau, Francisco Barranco, Timothée Masquelier

Event-based sensors are an excellent fit for Spiking Neural Networks (SNNs), since the coupling of an asynchronous sensor with neuromorphic hardware can yield real-time systems with minimal power requirements.

Optical Flow Estimation

Reconfigurable Cyber-Physical System for Lifestyle Video-Monitoring via Deep Learning

no code implementations7 Oct 2020 Daniel Deniz, Francisco Barranco, Juan Isern, Eduardo Ros

Reconfiguration reduces up to 22% the local nodes energy consumption extending the device operating time, preserving similar accuracy with respect to the alternative with no reconfiguration.

Action Recognition Management +1

Real-time clustering and multi-target tracking using event-based sensors

no code implementations8 Jul 2018 Francisco Barranco, Cornelia Fermuller, Eduardo Ros

The potential of our approach is demonstrated in a multi-target tracking application using Kalman filters to smooth the trajectories.

Clustering Event-based vision +2

Joint direct estimation of 3D geometry and 3D motion using spatio temporal gradients

no code implementations17 May 2018 Francisco Barranco, Cornelia Fermüller, Yiannis Aloimonos, Eduardo Ros

Conventional image motion based structure from motion methods first compute optical flow, then solve for the 3D motion parameters based on the epipolar constraint, and finally recover the 3D geometry of the scene.

Motion Estimation Optical Flow Estimation

Prediction of Manipulation Actions

no code implementations3 Oct 2016 Cornelia Fermüller, Fang Wang, Yezhou Yang, Konstantinos Zampogiannis, Yi Zhang, Francisco Barranco, Michael Pfeiffer

In psychophysical experiments, we evaluated human observers' skills in predicting actions from video sequences of different length, depicting the hand movement in the preparation and execution of actions before and after contact with the object.

Contour Detection and Characterization for Asynchronous Event Sensors

no code implementations ICCV 2015 Francisco Barranco, Ching L. Teo, Cornelia Fermuller, Yiannis Aloimonos

The bio-inspired, asynchronous event-based dynamic vision sensor records temporal changes in the luminance of the scene at high temporal resolution.

Boundary Detection Contour Detection +2

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