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Found 4 papers, 0 papers with code
MRF-based Background Initialisation for Improved Foreground Detection in Cluttered Surveillance Videos
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 impossible.
K-Tangent Spaces on Riemannian Manifolds for Improved Pedestrian Detection
For covariance-based image descriptors, taking into account the curvature of the corresponding feature space has been shown to improve discrimination performance.
Shadow Detection: A Survey and Comparative Evaluation of Recent Methods
Furthermore, we propose the use of tracking performance as an unbiased approach for determining the practical usefulness of shadow detection methods.
Spatio-Temporal Covariance Descriptors for Action and Gesture Recognition
We propose a new action and gesture recognition method based on spatio-temporal covariance descriptors and a weighted Riemannian locality preserving projection approach that takes into account the curved space formed by the descriptors.
Ranked #2 on
Hand Gesture Recognition
on Cambridge
