mlsanityData to 14 Oct 2026

Simultaneous Optical Flow and Segmentation (SOFAS) using Dynamic Vision Sensor

arXiv 1805.12326 ↗First posted 31 May 2018cs.CVcited by 21

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Abstract (arXiv)

We present an algorithm (SOFAS) to estimate the optical flow of events generated by a dynamic vision sensor (DVS). Where traditional cameras produce frames at a fixed rate, DVSs produce asynchronous events in response to intensity changes with a high temporal resolution. Our algorithm uses the fact that events are generated by edges in the scene to not only estimate the optical flow but also to simultaneously segment the image into objects which are travelling at the same velocity. This way it is able to avoid the aperture problem which affects other implementations such as Lucas-Kanade. Finally, we show that SOFAS produces more accurate results than traditional optic flow algorithms.

Key facts. Cited by 21 papers in the map (data through 14 Oct 2026). First posted on arXiv 31 May 2018.

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Citing papers per year: 2021: 4; 2022: 7; 2023: 3; 2024: 4; 2025: 3.

21 papers.

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  1. 2022Secrets of Event-Based Optical Flowcited by 92
  2. 2023Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarkscited by 90
  3. 2022Event Collapse in Contrast Maximization Frameworkscited by 33
  4. 2022Globally-Optimal Contrast Maximisation for Event Camerascited by 31
  5. 2021Real-Time Optical Flow for Vehicular Perception with Low- and High-Resolution Event Camerascited by 27
  6. 2021Visual Odometry with an Event Camera Using Continuous Ray Warping and Volumetric Contrast Maximizationcited by 14
  7. 2022Globally-Optimal Event Camera Motion Estimationcited by 10
  8. 2022Globally Optimal Event-Based Divergence Estimation for Ventral Landingcited by 9
  9. 2022ProgressiveMotionSeg: Mutually Reinforced Framework for Event-Based Motion Segmentationcited by 8
  10. 2021Event-based Motion Segmentation by Cascaded Two-Level Multi-Model Fittingcited by 6
  11. 2025EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimationcited by 6
  12. 2023NeuroCLIP: Neuromorphic Data Understanding by CLIP and SNNcited by 4
9 more
  1. 2024Vector-Symbolic Architecture for Event-Based Optical Flowcited by 4
  2. 2024Motion Segmentation for Neuromorphic Aerial Surveillancecited by 2
  3. 2024Retina-Inspired Object Motion Segmentation for Event-Camerascited by 2
  4. 2024Low-Latency Scalable Streaming for Event-Based Visioncited by 1
  5. 2025E-CHUM: Event-based Cameras for Human Detection and Urban Monitoringcited by 1
  6. 2021PCA Event-Based Optical Flow for Visual Odometrycited by 0
  7. 2022Real-Time Event-Based Tracking and Detection for Maritime Environmentscited by 0
  8. 2023GNEP Based Dynamic Segmentation and Motion Estimation for Neuromorphic Imagingcited by 0
  9. 2025Spatio-Temporal State Space Model For Efficient Event-Based Optical Flowcited by 0