An Asynchronous Neuromorphic Event-Driven Visual Part-Based Shape Tracking

IEEE Transactions on Neural Networks and Learning Systems
David Reverter ValeirasRyad Benosman

Abstract

Object tracking is an important step in many artificial vision tasks. The current state-of-the-art implementations remain too computationally demanding for the problem to be solved in real time with high dynamics. This paper presents a novel real-time method for visual part-based tracking of complex objects from the output of an asynchronous event-based camera. This paper extends the pictorial structures model introduced by Fischler and Elschlager 40 years ago and introduces a new formulation of the problem, allowing the dynamic processing of visual input in real time at high temporal resolution using a conventional PC. It relies on the concept of representing an object as a set of basic elements linked by springs. These basic elements consist of simple trackers capable of successfully tracking a target with an ellipse-like shape at several kilohertz on a conventional computer. For each incoming event, the method updates the elastic connections established between the trackers and guarantees a desired geometric structure corresponding to the tracked object in real time. This introduces a high temporal elasticity to adapt to projective deformations of the tracked object in the focal plane. The elastic energy of this virtual mech...Continue Reading

References

Jan 1, 1993·IEEE Transactions on Neural Networks·T Delbruck
Jun 15, 2011·IEEE Transactions on Pattern Analysis and Machine Intelligence·Shoushun ChenEugenio Culurciello
Sep 29, 2011·IEEE Transactions on Neural Networks·Ryad BenosmanChristoph Posch
Dec 14, 2011·Neural Networks : the Official Journal of the International Neural Network Society·Ryad BenosmanMandyam Srinivasan
Sep 21, 2013·IEEE Transactions on Pattern Analysis and Machine Intelligence·José Antonio Pérez-CarrascoBernabé Linares-Barranco
May 9, 2014·IEEE Transactions on Neural Networks and Learning Systems·Ryad BenosmanChiara Bartolozzi
Feb 1, 2012·IEEE Transactions on Neural Networks and Learning Systems·Paul RogisterTobi Delbruck
Sep 24, 2014·IEEE Transactions on Neural Networks and Learning Systems·Xavier LagorceRyad Benosman

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Citations

Feb 3, 2016·Frontiers in Neuroscience·David Reverter ValeirasRyad B Benosman
Mar 5, 2016·Frontiers in Neuroscience·Francisco BarrancoTobi Delbruck
Apr 12, 2016·Frontiers in Neuroscience·Anup VanarseAlexander Rassau
May 21, 2016·Frontiers in Neuroscience·Bodo Rueckauer, Tobi Delbruck
Jun 1, 2016·Frontiers in Neuroscience·David Reverter ValeirasRyad Benjamin Benosman
Nov 12, 2016·Sensors·Jose A BoludaFrancisco Vegara
Mar 21, 2017·Frontiers in Neuroscience·Abhishek MishraSunil L Kukreja
Apr 27, 2018·Frontiers in Neuroscience·Alexandre MarcireauRyad B Benosman
Jan 10, 2019·Frontiers in Computational Neuroscience·Sajjad SeifozzakeriniHossein Nejati
Aug 28, 2020·Frontiers in Neuroscience·Gregor LenzRyad Benosman
Jun 28, 2018·Frontiers in Neuroscience·Sio-Hoi IengRyad Benosman
Jan 20, 2017·Frontiers in Neuroscience·Xavier CladyRyad B Benosman
Dec 17, 2020·Sensors·Arman Savran, Chiara Bartolozzi

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