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Motion perception based on on/off channels: a survey
Q Fu - Neural Networks, 2023 - Elsevier
Motion perception is an essential ability for animals and artificially intelligent systems
interacting effectively, safely with surrounding objects and environments. Biological visual …
interacting effectively, safely with surrounding objects and environments. Biological visual …
Performance of an insect-inspired target tracker in natural conditions
Robust and efficient target-tracking algorithms embedded on moving platforms, are a
requirement for many computer vision and robotic applications. However, deployment of a …
requirement for many computer vision and robotic applications. However, deployment of a …
An autonomous robot inspired by insect neurophysiology pursues moving features in natural environments
Objective. Many computer vision and robotic applications require the implementation of
robust and efficient target-tracking algorithms on a moving platform. However, deployment of …
robust and efficient target-tracking algorithms on a moving platform. However, deployment of …
SLoN: a spiking looming perception network exploiting neural encoding and processing in ON/OFF channels
Looming perception, the ability to sense approaching objects, is crucial for the survival of
humans and animals. After hundreds of millions of years of evolutionary development …
humans and animals. After hundreds of millions of years of evolutionary development …
[HTML][HTML] Evaluation of Automated Object-Detection Algorithms for Koala Detection in Infrared Aerial Imagery
Effective detection techniques are important for wildlife monitoring and conservation
applications and are especially helpful for species that live in complex environments, such …
applications and are especially helpful for species that live in complex environments, such …
A Bio-Inspired Research Paradigm of Collision Perception Neurons Enabling Neuro-Robotic Integration: The LGMD Case
Compared to human vision, insect visual systems excel at rapid and precise collision
detection, despite relying on only tens of thousands of neurons organized through a few …
detection, despite relying on only tens of thousands of neurons organized through a few …
Bioinspired contrast vision computation for robust motion estimation against natural signals
This paper aims at addressing a challenging problem on reliably estimating image motion
against highly variable natural signals which artificial dynamic vision systems are faced with …
against highly variable natural signals which artificial dynamic vision systems are faced with …
Bio-inspired small target motion detector with a new lateral inhibition mechanism
In nature, it is an important task for animals to detect small targets which move within
cluttered background. In recent years, biologists have found that a class of neurons in the …
cluttered background. In recent years, biologists have found that a class of neurons in the …
Nonlinear, neuronal adaptation in insect vision models improves target discrimination within repetitively moving backgrounds
Neurons which respond selectively to small moving targets, even against a cluttered
background, have been identified in several insect species. To investigate what underlies …
background, have been identified in several insect species. To investigate what underlies …
Bio-inspired feature extraction and enhancement of targets moving against visual clutter during closed loop pursuit
We developed a biologically inspired model for detection and pursuit of small targets against
complex backgrounds and tested it in a closed-loop flight arena. A winner-takes-all network …
complex backgrounds and tested it in a closed-loop flight arena. A winner-takes-all network …