mlsanityData to 7 Oct 2026

Event Driven Clustering Algorithm

arXiv 2602.00115 ↗First posted 27 Jan 2026cs.CV cs.LGcited by 0

Not on the map. Why?

Abstract (arXiv)

This paper introduces a novel asynchronous, event-driven algorithm for real-time detection of small event clusters in event camera data. Similar to hierarchical agglomerative clustering methods, the proposed algorithm detects clusters based on their spatio-temporal proximity. However, it explicitly leverages the asynchronous structure of event camera data and employs a simple yet efficient decision mechanism, achieving a linear time complexity of Theta(N), where N is the number of events. Furthermore, the runtime is independent of the sensor resolution, i.e., the number of pixels.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 16 of its 32 references that are in the map. First posted on arXiv 27 Jan 2026.

Builds on

16 of 32 references.

References · 16

  1. 2019Event-based Vision: A Surveycited by 1,010
  2. 2018HATS: Histograms of Averaged Time Surfaces for Robust Event-based Object Classificationcited by 215
  3. 2022AEGNN: Asynchronous Event-based Graph Neural Networkscited by 118
  4. 2018Semi-Dense 3D Reconstruction with a Stereo Event Cameracited by 67
  5. 2019Speed Invariant Time Surface for Learning to Detect Corner Points with Event-Based Camerascited by 48
  6. 2021Moving Object Detection for Event-based vision using Graph Spectral Clusteringcited by 28
  7. 2019FA-Harris: A Fast and Asynchronous Corner Detector for Event Camerascited by 26
  8. 2020Asynchronous Tracking-by-Detection on Adaptive Time Surfaces for Event-based Object Trackingcited by 25
  9. 2018Real-time clustering and multi-target tracking using event-based sensorscited by 23
  10. 2023Shining light on the DVS pixel: A tutorial and discussion about biasing and optimizationcited by 21
  11. 2021Feedback control of event camerascited by 20
  12. 2022eCDT: Event Clustering for Simultaneous Feature Detection and Tracking-cited by 18
4 more
  1. 2023Memory-Efficient Graph Convolutional Networks for Object Classification and Detection with Event Camerascited by 11
  2. 2024Enhancing Visual Place Recognition via Fast and Slow Adaptive Biasing in Event Camerascited by 10
  3. 2022Probabilistic Approach for Detection of High-Frequency Periodic Signals using an Event Cameracited by 3
  4. 2025On the Theory of Bias Tuning in Event Camerascited by 1

Built on by

Not cited yet.