Results 41 to 50 of about 25,780,245 (278)
We will demonstrate an FPGA implementation of an event- based vision sensor using a commercially available frame- based camera. The demonstration setup consists of the host PC that includes the Quartus Prime software which is used to program and ...
Ying Xu +7 more
core +1 more source
Event-based spatio-temporal down-sampling
—As vision sensors for autonomous systems, event based cameras provide numerous benefits over conventional cameras including higher dynamic range and temporal resolution as well as lower bandwidth and power requirements.
Anindya Ghosh (11447215) +2 more
core +1 more source
CIFAR10-DVS: An Event-Stream Dataset for Object Classification
Neuromorphic vision research requires high-quality and appropriately challenging event-stream datasets to support continuous improvement of algorithms and methods.
Hongmin Li +5 more
doaj +1 more source
Event-based vision in magneto-optic Kerr effect microscopy
Magneto-optic Kerr effect (MOKE) microscopy is a widely used technique for observation and characterization of microscopic magnetic structures. While being efficient and easy-to-use, current commercial MOKE microscopes are not superb in time resolution ...
Kai Zhang +3 more
doaj +1 more source
A Framework for Event-based Computer Vision on a Mobile Device
We present the first publicly available Android framework to stream data from an event camera directly to a mobile phone. Today's mobile devices handle a wider range of workloads than ever before and they incorporate a growing gamut of sensors that make devices smarter, more user friendly and secure.
Gregor Lenz, Serge Picaud, Sio-Hoi Ieng
openaire +3 more sources
Event-based Vision for Early Prediction of Manipulation Actions
Neuromorphic visual sensors are artificial retinas that output sequences of asynchronous events when brightness changes occur in the scene. These sensors offer many advantages including very high temporal resolution, no motion blur and smart data compression ideal for real-time processing.
Daniel Deniz +4 more
openaire +3 more sources
Bioinspired event-driven collision avoidance algorithm based on optic flow
Any mobile agent, whether biological or robotic, needs to avoid collisions with obstacles. Insects, such as bees and flies, use optic flow to estimate the relative nearness to obstacles. Optic flow induced by ego-motion is composed of a translational and
Benosmanz, Ryad +12 more
core +1 more source
EventSegNet: Direct Sparse Semantic Segmentation from Event Data
Semantic segmentation tasks encompass various applications, such as autonomous driving, medical imaging, and robotics. Achieving accurate semantic information retrieval under conditions of high dynamic range and rapid scene changes remains a significant ...
Pengju Li +7 more
doaj +1 more source
Spatiotemporal Feature Learning for Event-Based Vision
Submitted to IEEE Transactions in Neural Networks and Learning ...
Rohan Ghosh +4 more
openaire +2 more sources
Evaluating Performance in Continuous Context Recognition Using Event-Driven Error Characterisation [PDF]
Evaluating the performance of a continuous activity recognition system can be a challenging problem. To-date there is no widely accepted standard for dealing with this, and in general methods and measures are adapted from related fields such as speech ...
Lukowicz, Paul +8 more
core +4 more sources

