The combination of neuromorphic visual sensors and spiking neural network offers a high
efficient bio-inspired solution to real-world applications. However, processing event-based …

Moving object detection has been a central topic of discussion in computer vision for its wide
range of applications like in self-driving cars, video surveillance, security, and enforcement …

Pedestrian detection has attracted enormous research attention in the field of Intelligent
Transportation System (ITS) due to that pedestrians are the most vulnerable traffic …

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 …

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 …

Neuromorphic photonics is a cutting-edge fusion of neuroscience-inspired computing and
photonics technology to overcome the constraints of conventional computing architectures …

This paper presents a long-term object tracking algorithm for event cameras. A first of its kind
for these revolutionary cameras, the tracking framework uses a discriminative representation …

An event camera is a novel bio-inspired sensor that effectively compensates for the
shortcomings of current frame cameras, which include high latency, low dynamic range …

As an emerging approach to space situational awareness and space imaging, the practical
use of an event-based camera (EBC) in space imaging for precise source analysis is still in …

Neuromorphic vision sensor is a new passive sensing modality and a frameless sensor with
a number of advantages over traditional cameras. Instead of wastefully sending entire …