A Lightweight Spatiotemporal Network for Online Eye Tracking with Event Camera

arXiv:2404.08858v1 Announce Type: new
Abstract: Event-based data are commonly encountered in edge computing environments where efficiency and low latency are critical. To interface with such data and leverage their rich temporal features, we propose a causal spatiotemporal convolutional network. This solution targets efficient implementation on edge-appropriate hardware with limited resources in three ways: 1) deliberately targets a simple architecture and set of operations (convolutions, ReLU activations) 2) can be configured to perform online inference efficiently via buffering of layer outputs …

abstract arxiv causal computing cs.ai cs.cv data edge edge computing efficiency environments event features hardware implementation latency low low latency network solution targets temporal tracking type