Frame-free dynamic digital vision

@inproceedings{Delbrck2008FramefreeDD,
  title={Frame-free dynamic digital vision},
  author={Tobias Delbr{\"u}ck},
  year={2008}
}
Conventional image sensors produce massive amounts of redundant data and are limited in temporal resolution by the frame rate. This paper reviews our recent breakthrough in the development of a high- performance spike-event based dynamic vision sensor (DVS) that discards the frame concept entirely, and then describes novel digital methods for efficient low-level filtering and feature extraction and high-level object tracking that are based on the DVS spike events. These methods filter events… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-10 OF 101 CITATIONS

Event-based image processing using a neuromorphic vision sensor

VIEW 15 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

Event-Driven Sensing for Efficient Perception: Vision and audition algorithms

VIEW 4 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

A Retinotopic Spiking Neural Network System for Accurate Recognition of Moving Objects Using NeuCube and Dynamic Vision Sensors

VIEW 5 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

Computational methods for event-based signals and applications

VIEW 8 EXCERPTS
CITES BACKGROUND
HIGHLY INFLUENCED

Contour Detection and Characterization for Asynchronous Event Sensors

VIEW 4 EXCERPTS
CITES BACKGROUND
HIGHLY INFLUENCED

Live demonstration: Behavioural emulation of event-based vision sensors

VIEW 4 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

Event-based Vision: A Survey

VIEW 9 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

Fast, Flexible Closed-Loop Feedback: Tracking Movement in “Real-Millisecond-Time”

VIEW 3 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

Neuromorophic vision sensing and processing

  • Tobi Delbruck
  • Engineering
  • 2016 46th European Solid-State Device Research Conference (ESSDERC)
  • 2016
VIEW 4 EXCERPTS
CITES METHODS
HIGHLY INFLUENCED

FILTER CITATIONS BY YEAR

2009
2019

CITATION STATISTICS

  • 13 Highly Influenced Citations

  • Averaged 11 Citations per year from 2017 through 2019

  • 50% Increase in citations per year in 2019 over 2018

References

Publications referenced by this paper.
SHOWING 1-10 OF 17 REFERENCES

A 128×128 120dB 15us Latency Asynchronous Temporal Contrast Vision Sensor

  • P. Lichtsteiner
  • IEEE J. Solid State Circuits, vol. 43(2), pp. scheduled, 2008.
  • 2008
VIEW 10 EXCERPTS
HIGHLY INFLUENTIAL

A 128×128 120dB 30mW Asynchronous Vision Sensor that Responds to Relative Intensity Change

  • P. Lichtsteiner
  • ISSCC Dig. of Tech. Papers, San Francisco, 2006, pp. 508-509 (27.9).
  • 2006
VIEW 10 EXCERPTS
HIGHLY INFLUENTIAL

Fast sensory motor control based on event-based hybrid neuromorphic-procedural system

VIEW 3 EXCERPTS

Vehicle Counting with an Embedded Traffic Data System using an Optical Transient Sensor

VIEW 1 EXCERPT

jAER open source project

  • T. Delbruck
  • 2007, Available:http://jaer.wiki.sourceforge.net.
  • 2007
VIEW 1 EXCERPT

Embedded Vision System for Real-Time Object Tracking using an Asynchronous Transient Vision Sensor

VIEW 1 EXCERPT

Estimation of Vehicle Speed Based on Asynchronous Data from a Silicon Retina Optical Sensor

VIEW 1 EXCERPT

Temporal change threshold detection imager

VIEW 1 EXCERPT

A burst-mode word-serial address-event link-I: transmitter design

  • Kwabena Boahen
  • Computer Science
  • IEEE Transactions on Circuits and Systems I: Regular Papers
  • 2004