Human Action Recognition (HAR) aims to understand human behavior and assign a label to
each action. It has a wide range of applications, and therefore has been attracting increasing …

Neuromorphic vision sensing (NVS) devices represent visual information as sequences of
asynchronous discrete events (aka,“spikes”) in response to changes in scene reflectance …

The neuromorphic event cameras can efficiently sense the latent geometric structures and
motion clues of a scene by generating asynchronous and sparse event signals. Due to the …

Event cameras are bio-inspired sensors that perform well in challenging illumination
conditions and have high temporal resolution. However, their concept is fundamentally …

Event cameras are bio-inspired sensors that respond to local changes in light intensity and
feature low latency, high energy efficiency, and high dynamic range. Meanwhile, Spiking …

In this paper, we introduce a framework for dynamic gesture recognition with background
suppression operating on the output of a moving event-based camera. The system is …

Event cameras encode the change of brightness into events, differing from conventional
frame cameras. The novel working principle makes them to have stronger potential in high …

Neuromorphic vision sensors provide low power sensing and capture salient spatial-
temporal events. The majority of the existing neuromorphic sensing work focus on object …

Networks of spiking neurons and Winner-Take-All spiking circuits (WTA-SNNs) can detect
information encoded in spatio-temporal multi-valued events. These are described by the …

Event-based visual perception is becoming increasingly popular owing to interesting sensor
characteristics enabling the handling of difficult conditions such as highly dynamic motion or …