Detecting Shadows
2 papers with code • 0 benchmarks • 0 datasets
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Latest papers with no code
CPNet: A Context Preserver Convolutional Neural Network for Detecting Shadows in Single RGB Images
Automatic detection of shadow regions in an image is a difficult task due to the lack of prior information about the illumination source and the dynamic of the scene objects.
A Reflectance Based Method For Shadow Detection and Removal
Shadows are common aspect of images and when left undetected can hinder scene understanding and visual processing.
Noisy Label Recovery for Shadow Detection in Unfamiliar Domains
However, shadow detection on broader image domains is still challenging due to the lack of annotated training data.
Radar shadow detection in SAR images using DEM and projections
Synthetic aperture radar (SAR) images are widely used in target recognition tasks nowadays.
An Adaptive GMM Approach to Background Subtraction for Application in Real Time Surveillance
So on detection of any unexpected events in the scene an alarm can be triggered and hence we can achieve real time surveillance even in the absence of constant human monitoring.
