Figure 2.

Overview on the modular pipeline used to classify objects based on intensity images and events. The DAVIS346 camera records conventional frames at a constant frame rate and an asynchronous event stream of the moving object in the camera’s FoV. The event stream is denoised by a spatio-temporal filter and a meanshift tracking algorithm determines the object’s centroid based on events only. All information about frames and events is compressed to an ROI formed around the object’s center which leads to a compensation of lateral motion. Based on this, different classification methods are applied and compared.