  This paper explores the application of event-based cameras in the domains of
image segmentation and motion estimation. These cameras offer a groundbreaking
technology by capturing visual information as a continuous stream of
asynchronous events, departing from the conventional frame-based image
acquisition. We introduce a Generalized Nash Equilibrium based framework that
leverages the temporal and spatial information derived from the event stream to
carry out segmentation and velocity estimation. To establish the theoretical
foundations, we derive an existence criteria and propose a multi-level
optimization method for calculating equilibrium. The efficacy of this approach
is shown through a series of experiments.
