194 citations · 799 across the 9 of their papers we have counts for
7 papers · 1 filter
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…
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…
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…
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…
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…
Combined Learning of Salient Local Descriptors and Distance Metrics for Image Set Face Verification
Conrad Sanderson, Mehrtash T. Harandi, Yongkang Wong +1
In contrast to comparing faces via single exemplars, matching sets of face images increases robustness and discrimination performance. Recent image set matching approaches typicall…