Results 31 to 40 of about 2,410 (200)
Artificial intelligence-based spatio-temporal vision sensors: applications and prospects
Frontiers in Materials, 2023 Introduction: Advances in machine vision and mobile electronics will be accelerated by the creation of sophisticated optoelectronic vision sensors that allow for sophisticated picture recognition of visual information and data pre-processing. Several new
Zhixue Li, Hongwei Sun
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IEEE Spectrum, 1996 Analog circuits based on resistive networks emulate the behavior of the vertebrate eye, detecting edges, differentiating between surfaces, and estimating motion. The speed and simplicity of these devices make them candidates for applications ranging from security systems to retinal replacements.
Koch, Christof, Mathur, Bimal
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Making Sense of Neuromorphic Event Data for Human Action Recognition
IEEE Access, 2021 Neuromorphic vision sensors provide low power sensing and capture salient spatial-temporal events. The majority of the existing neuromorphic sensing work focus on object detection.
Salah Al-Obaidi +2 more
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eMorph: Towards Neuromorphic Robotic Vision
Procedia Computer Science, 2011 AbstractThe eMorph project aims at introducing a new concept for vision in the field of humanoid robotics. The system that is currently being developed is inspired by the biology of mammalian visual systems, introducing concepts such as stimulus-driven signal acquisition and processing, together with space-variant sensor design coupled with active ...
Chiara Bartolozzi +8 more
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Neuromorphic Vision Based Multivehicle Detection and Tracking for Intelligent Transportation System
Journal of Advanced Transportation, 2018 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 images at fixed frame rate, neuromorphic vision sensor only transmits the local
Guang Chen +12 more
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Converting Static Image Datasets to Spiking Neuromorphic Datasets Using Saccades
Frontiers in Neuroscience, 2015 Creating datasets for Neuromorphic Vision is a challenging task. A lack of available recordings from Neuromorphic Vision sensors means that data must typically be recorded specifically for dataset creation rather than collecting and labelling existing ...
Garrick eOrchard +4 more
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Neuromorphic vision processing system [PDF]
Electronics Letters, 1997 A neuromorphic vision processing system which consists of a 32 × 32 CMOS imager and an edge feature extractor is implemented to mimic the early vision processing in vertebrates. The CMOS imager captures the image and performs edge processing, and the feature extractor can extract edges with different orientations. Both circuits have been fabricated and
null Lin, null Chen, null Chiueh
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APL Photonics, 2021 Driven by the increasing significance of artificial intelligence, the field of neuromorphic (brain-inspired) photonics is attracting increasing interest, promising new, high-speed, and energy-efficient computing hardware for key applications in ...
Matěj Hejda +4 more
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Frontiers in Neuroscience, 2019 A neuromorphic vision sensors is a novel passive sensing modality and frameless sensors with several advantages over conventional cameras. Frame-based cameras have an average frame-rate of 30 fps, causing motion blur when capturing fast motion, e.g ...
Guang Chen +6 more
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Research on neuromorphic vision sensor and its applications
物联网学报, 2019 Neuromorphic vision sensor is a biologically inspired artificial neural system that mimics algorithmic behavior of biological vision systems,which has numerous advantages over standard vision sensors,such as high temporal resolution,low latency,low power,
Yongsheng SANG +4 more
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