Event-based sensors are bio-inspired sensors that differ from conventional frame based-sensors. Instead of capturing images at a fixed rate, they asynchronously measure changes of brightness per-pixel and output a stream of events that encode the time...
Event-based sensors are bio-inspired sensors that differ from conventional frame based-sensors. Instead of capturing images at a fixed rate, they asynchronously measure changes of brightness per-pixel and output a stream of events that encode the time, location, and sign of the brightness changes. Compared to traditional sensors, event-based sensors demonstrate various attractive properties such as low latency, high speed, and high dynamic range. However, different approaches that can process the unconventional output of these sensors, must to be considered in order to reach their potential. This paper provides a comprehensive overview of the event-based sensors with a focus on processing the output of the event-based sensors. Furthermore, we analyze the signal processing from three distinct perspectives, namely, representation, application, and hardware platform.