Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Behavior of neural networks in culture suggest that sporadic and genetic forms of Alzheimer's disease may not be equivalent.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same author

Cost-Effectiveness Modelling of Multiple System Atrophy for Early Health Technology Assessment.

PharmacoEconomics - open·2025
Same author

The neurobench framework for benchmarking neuromorphic computing algorithms and systems.

Nature communications·2025
Same author

Neuromorphic computing at scale.

Nature·2025
Same author

A robust event-driven approach to always-on object recognition.

Neural networks : the official journal of the International Neural Network Society·2024
Same author

Issues, Challenges and Opportunities for Economic Evaluations of Orphan Drugs in Rare Diseases: An Umbrella Review.

PharmacoEconomics·2024
Same journal

A Model-Free Reinforcement Learning Implementation of Decision Making Under Uncertainty by Sequential Sampling.

Neural computation·2026
Same journal

DROP: Distributional and Regular Optimism and Pessimism for Reinforcement Learning.

Neural computation·2026
Same journal

Hierarchical Active Inference Using Successor Representations.

Neural computation·2026
Same journal

W-Kernel and Its Principal Space for Frequentist Evaluation of Bayesian Estimators.

Neural computation·2026
Same journal

A Hidden Markov Model-Inspired Sequence Classification Method for Hyperdimensional Computing.

Neural computation·2026
Same journal

Sparse Graphical Modeling for Electrophysiological Phase-Based Connectivity Using Circular Statistics.

Neural computation·2026
See all related articles

Related Experiment Video

Updated: Apr 17, 2026

Tracking Rats in Operant Conditioning Chambers Using a Versatile Homemade Video Camera and DeepLabCut
08:32

Tracking Rats in Operant Conditioning Chambers Using a Versatile Homemade Video Camera and DeepLabCut

Published on: June 15, 2020

13.7K

Visual tracking using neuromorphic asynchronous event-based cameras.

Zhenjiang Ni1, Sio-Hoi Ieng, Christoph Posch

  • 1Institute of Robotics and Intelligent Systems, University Pierre and Marie Curie, 75005 Paris, France ni@isir.upmc.fr.

Neural Computation
|February 25, 2015
PubMed
Summary
This summary is machine-generated.

This study introduces a new, efficient pattern tracking method using time-encoded, frame-free visual data. This approach excels at real-time object tracking, even during occlusions, outperforming traditional frame-based systems.

More Related Videos

Long-term Behavioral Tracking of Freely Swimming Weakly Electric Fish
10:56

Long-term Behavioral Tracking of Freely Swimming Weakly Electric Fish

Published on: March 6, 2014

13.1K
Automated Visual Cognitive Tasks for Recording Neural Activity Using a Floor Projection Maze
11:15

Automated Visual Cognitive Tasks for Recording Neural Activity Using a Floor Projection Maze

Published on: February 20, 2014

13.7K

Related Experiment Videos

Last Updated: Apr 17, 2026

Tracking Rats in Operant Conditioning Chambers Using a Versatile Homemade Video Camera and DeepLabCut
08:32

Tracking Rats in Operant Conditioning Chambers Using a Versatile Homemade Video Camera and DeepLabCut

Published on: June 15, 2020

13.7K
Long-term Behavioral Tracking of Freely Swimming Weakly Electric Fish
10:56

Long-term Behavioral Tracking of Freely Swimming Weakly Electric Fish

Published on: March 6, 2014

13.1K
Automated Visual Cognitive Tasks for Recording Neural Activity Using a Floor Projection Maze
11:15

Automated Visual Cognitive Tasks for Recording Neural Activity Using a Floor Projection Maze

Published on: February 20, 2014

13.7K

Area of Science:

  • Computer Vision
  • Robotics
  • Biologically Inspired Engineering

Background:

  • Traditional frame-based vision systems struggle with real-time processing and occlusion handling.
  • Novel event-based cameras offer sparse, accurately timed data, suitable for advanced computational tasks.

Purpose of the Study:

  • To develop a computationally efficient and robust pattern tracking method using time-encoded, frame-free visual data.
  • To leverage the unique properties of event-based cameras for enhanced object tracking capabilities.

Main Methods:

  • Processing visual data for each incoming event as it arrives.
  • Iterative estimation of geometric transformations for object tracking.
  • Utilizing the temporal dimension of data for improved robustness.

Main Results:

  • Achieved real-time performance at kilohertz frame rates on a standard PC.
  • Demonstrated robustness against isometry, similarity, and affine distortions.
  • Successfully resolved ambiguous object occlusion cases that challenge frame-based methods.

Conclusions:

  • The proposed time-encoded, frame-free pattern tracking method offers significant advantages in efficiency and robustness.
  • Event-based vision systems, by exploiting the temporal dimension, provide a powerful alternative for challenging tracking scenarios.
  • This approach has the potential to advance fields requiring high-speed, reliable visual tracking, such as robotics and autonomous systems.