  Event cameras can capture pixel-level illumination changes with very high
temporal resolution and dynamic range. They have received increasing research
interest due to their robustness to lighting conditions and motion blur. Two
main approaches exist in the literature to feed the event-based processing
algorithms: packaging the triggered events in event packages and sending them
one-by-one as single events. These approaches suffer limitations from either
processing overflow or lack of responsivity. Processing overflow is caused by
high event generation rates when the algorithm cannot process all the events in
real-time. Conversely, lack of responsivity happens in cases of low event
generation rates when the event packages are sent at too low frequencies. This
paper presents ASAP, an adaptive scheme to manage the event stream through
variable-size packages that accommodate to the event package processing times.
The experimental results show that ASAP is capable of feeding an asynchronous
event-by-event clustering algorithm in a responsive and efficient manner and at
the same time prevents overflow.
