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Found 11 papers, 2 papers with code
A Robust Visual System for Small Target Motion Detection Against Cluttered Moving Backgrounds
The directional contrast and the extracted motion information by the motion pathway are integrated in the mushroom body for small target discrimination.
A Directionally Selective Small Target Motion Detecting Visual Neural Network in Cluttered Backgrounds
Discriminating targets moving against a cluttered background is a huge challenge, let alone detecting a target as small as one or a few pixels and tracking it in flight.
A Feedback Neural Network for Small Target Motion Detection in Cluttered Backgrounds
However, if there exists a feedback loop in the STMD visual pathway or if a feedback loop could significantly improve the detection performance of STMD neurons, is unclear.
An Improved LPTC Neural Model for Background Motion Direction Estimation
A class of specialized neurons, called lobula plate tangential cells (LPTCs) has been shown to respond strongly to wide-field motion.
Visual Cue Integration for Small Target Motion Detection in Natural Cluttered Backgrounds
To address this issue, we develop a new visual system model for small target motion detection against cluttered moving backgrounds.
A Visual Neural Network for Robust Collision Perception in Vehicle Driving Scenarios
This research addresses the challenging problem of visual collision detection in very complex and dynamic real physical scenes, specifically, the vehicle driving scenarios.
Towards Computational Models and Applications of Insect Visual Systems for Motion Perception: A Review
A good number of motion detectors have been identified in the insects' visual pathways.
A Time-Delay Feedback Neural Network for Discriminating Small, Fast-Moving Targets in Complex Dynamic Environments
Discriminating small moving objects within complex visual environments is a significant challenge for autonomous micro robots that are generally limited in computational power.
Enhancing LGMD's Looming Selectivity for UAV with Spatial-temporal Distributed Presynaptic Connections
The results have demonstrated that this new model enhances the looming selectivity in complex flying scenes considerably, and has potential to be implemented on embedded collision detection systems for small or micro UAVs.
Attention and Prediction Guided Motion Detection for Low-Contrast Small Moving Targets
The developed visual system comprises three main subsystems, namely, an attention module, an STMD-based neural network, and a prediction module.
Spatio-Temporal Feedback Control of Small Target Motion Detection Visual System
The first subnetwork is designed to extract spatial and temporal motion patterns of cluttered backgrounds by neuronal ensemble coding.
