323 citations · 2k across the 63 of their papers we have counts for
10 papers · 2 filters
Sparse Coding on Symmetric Positive Definite Manifolds using Bregman Divergences
Mehrtash Harandi, Richard Hartley, Brian Lovell +1
This paper introduces sparse coding and dictionary learning for Symmetric Positive Definite (SPD) matrices, which are often used in machine learning, computer vision and related ar…
Bags of Affine Subspaces for Robust Object Tracking
Sareh Shirazi, Conrad Sanderson, Chris McCool +1
We propose an adaptive tracking algorithm where the object is modelled as a continuously updated bag of affine subspaces, with each subspace constructed from the object's appearanc…
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…
Log-Euclidean Bag of Words for Human Action Recognition
Masoud Faraki, Maziar Palhang, Conrad Sanderson
Representing videos by densely extracted local space-time features has recently become a popular approach for analysing actions. In this paper, we tackle the problem of categorisin…
K-Tangent Spaces on Riemannian Manifolds for Improved Pedestrian Detection
Andres Sanin, Conrad Sanderson, Mehrtash T. Harandi +1
For covariance-based image descriptors, taking into account the curvature of the corresponding feature space has been shown to improve discrimination performance. This is often don…
Random Projections on Manifolds of Symmetric Positive Definite Matrices for Image Classification
Azadeh Alavi, Arnold Wiliem, Kun Zhao +2
Recent advances suggest that encoding images through Symmetric Positive Definite (SPD) matrices and then interpreting such matrices as points on Riemannian manifolds can lead to in…