194 citations · 403 across the 4 of their papers we have counts for
4 papers
MRF-based Background Initialisation for Improved Foreground Detection in Cluttered Surveillance Videos
Vikas Reddy, Conrad Sanderson, Andres Sanin +1
Robust foreground object segmentation via background modelling is a difficult problem in cluttered environments, where obtaining a clear view of the background to model is almost i…
Improved Anomaly Detection in Crowded Scenes via Cell-based Analysis of Foreground Speed, Size and Texture
Vikas Reddy, Conrad Sanderson, Brian C. Lovell
A robust and efficient anomaly detection technique is proposed, capable of dealing with crowded scenes where traditional tracking based approaches tend to fail. Initial foreground…
Improved Foreground Detection via Block-based Classifier Cascade with Probabilistic Decision Integration
Vikas Reddy, Conrad Sanderson, Brian C. Lovell
Background subtraction is a fundamental low-level processing task in numerous computer vision applications. The vast majority of algorithms process images on a pixel-by-pixel basis…
A Low-Complexity Algorithm for Static Background Estimation from Cluttered Image Sequences in Surveillance Contexts
Vikas Reddy, Conrad Sanderson, Brian C. Lovell
For the purposes of foreground estimation, the true background model is unavailable in many practical circumstances and needs to be estimated from cluttered image sequences. We pro…