The nervous systems converts the physical quantities sensed by its primary receptors into
trains of events that are then processed in the brain. The unmatched efficiency in information …

Event-based cameras have shown great promise in a variety of situations where frame
based cameras suffer, such as high speed motions and high dynamic range scenes …

This paper describes novel event-based spatio-temporal features called time-surfaces and
how they can be used to create a hierarchical event-based pattern recognition architecture …

Unmanned aerial vehicles (UAVs) are advantageous in their high maneuverability for long-
range outdoor target tracking. In this paper, we develop a UAV-based target tracking and …

Regardless of the marvels brought by the conventional frame‐based cameras, they have
significant drawbacks due to their redundancy in data and temporal latency. This causes …

Event camera has offered promising alternative for visual perception, especially in high
speed and high dynamic range scenes. Recently, many deep learning methods have shown …

Event cameras contain emerging, neuromorphic vision sensors that capture local-light​
intensity changes at each pixel, generating a stream of asynchronous events. This way of …

In recent years, dynamic vision sensors (DVS), also known as event-based cameras or
neuromorphic sensors, have seen increased use due to various advantages over …

The utilisation of event cameras represents an important and swiftly evolving trend aimed at
addressing the constraints of traditional video systems. Particularly within the automotive …

This paper presents a long-term object tracking framework with a moving event camera
under general tracking conditions. A first of its kind for these revolutionary cameras, the …