# Motion-Aware Optical Camera Communication with Event Cameras

arXiv: https://arxiv.org/abs/2412.00816 · HTML: https://mlsanity.com/paper/2412.00816/

## Key facts

- Cited by 5 papers in the map (data through 14 Oct 2026).
- Builds on 1 of its 39 references that are in the map.
- First posted on arXiv 1 Dec 2024.

## Builds on (most cited first, 1 of 1)

- [Linking Vision and Multi-Agent Communication through Visible Light Communication using Event Cameras](https://mlsanity.com/paper/2402.05619/) (2024)

## Built on by (most cited first, 5 of 5)

- [MoCom: Motion-based Inter-MAV Visual Communication Using Event Vision and Spiking Neural Networks](https://mlsanity.com/paper/2510.14770/) (2025)
- [EvAnimate: Event-conditioned Image-to-Video Generation for Human Animation](https://mlsanity.com/paper/2503.18552/) (2025)
- [Event-based Optical Marker Systems: A survey](https://mlsanity.com/paper/2504.20736/) (2025)
- [Experimental Demonstration of Event-based Optical Camera Communication in Long-Range Outdoor Environment](https://mlsanity.com/paper/2510.14266/) (2025)
- [Asynchronous Tracking, Optical Communication and 3D Motion Capture using Event-based Sensors](https://mlsanity.com/paper/2610.04342/) (2026)

## Abstract (arXiv)

As the ubiquity of smart mobile devices continues to rise, Optical Camera Communication systems have gained more attention as a solution for efficient and private data streaming. This system utilizes optical cameras to receive data from digital screens via visible light. Despite their promise, most of them are hindered by dynamic factors such as screen refreshing and rapid camera motion. CMOS cameras, often serving as the receivers, suffer from limited frame rates and motion-induced image blur, which degrade overall performance. To address these challenges, this paper unveils a novel system that utilizes event cameras. We introduce a dynamic visual marker and design event-based tracking algorithms to achieve fast localization and data streaming. Remarkably, the event camera's unique capabilities mitigate issues related to screen refresh rates and camera motion, enabling a high throughput of up to 114 Kbps in static conditions, and a 1 cm localization accuracy with 1% bit error rate under various camera motions.