EV-SegNet: Semantic Segmentation for Event-based Cameras

Understand

Event cameras, or Dynamic Vision Sensor (DVS), are very promising sensors which have shown several advantages over frame based cameras.

• However, most recent work on real applications of these cameras is focused on 3D reconstruction and 6-DOF camera tracking.
• Deep learning based approaches, which are leading the state-of-the-art in visual recognition tasks, could potentially take advantage of the benefits of DVS, but some adaptations are needed still needed in order to effectively work on these cameras.
• This work introduces a first baseline for semantic segmentation with this kind of data.