Quantifying Noise of Dynamic Vision Sensor
Researchers have developed a new technique using Detrended Fluctuation Analysis (DFA) to quantify background activity noise in Dynamic Vision Sensors (DVS). This method allows for the characterization of noise and signal without requiring ground truth data, addressing a key challenge in DVS applications. The technique also aids in deriving optimal parameters for denoising filters, with its effectiveness demonstrated on a real-world moving-car dataset. AI