activity
20132026
most citedPatch-based Probabilistic Image Quality Assessment for Face Selection and Improved Video-based Face Recognition

323 citations · 2k across the 63 of their papers we have counts for

collaborators
Showing 2013 · cs.CVShow all

10 papers · 2 filters

cs.CV2013

Dictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution

Mehrtash Harandi, Conrad Sanderson, Chunhua Shen +1

Recent advances in computer vision and machine learning suggest that a wide range of problems can be addressed more appropriately by considering non-Euclidean geometry. In this pap…

cs.CV2013★ 18 cited

Dynamic Amelioration of Resolution Mismatches for Local Feature Based Identity Inference

Yongkang Wong, Conrad Sanderson, Sandra Mau +1

While existing face recognition systems based on local features are robust to issues such as misalignment, they can exhibit accuracy degradation when comparing images of differing…

cs.CV2013★ 194 cited

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…

cs.CV2013★ 323 cited

Patch-based Probabilistic Image Quality Assessment for Face Selection and Improved Video-based Face Recognition

Yongkang Wong, Shaokang Chen, Sandra Mau +2

In video based face recognition, face images are typically captured over multiple frames in uncontrolled conditions, where head pose, illumination, shadowing, motion blur and focus…

cs.CV2013★ 5 cited

Video Face Matching using Subset Selection and Clustering of Probabilistic Multi-Region Histograms

Sandra Mau, Shaokang Chen, Conrad Sanderson +1

Balancing computational efficiency with recognition accuracy is one of the major challenges in real-world video-based face recognition. A significant design decision for any such s…

cs.CV2013★ 138 cited

Spatio-Temporal Covariance Descriptors for Action and Gesture Recognition

Andres Sanin, Conrad Sanderson, Mehrtash T. Harandi +1

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…