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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.
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.
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.
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