323 citations · 925 across the 7 of their papers we have counts for
7 papers
Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel Approach
Mehrtash T. Harandi, Conrad Sanderson, Richard Hartley +1
Recent advances suggest that a wide range of computer vision problems can be addressed more appropriately by considering non-Euclidean geometry. This paper tackles the problem of s…
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…
Shadow Detection: A Survey and Comparative Evaluation of Recent Methods
Andres Sanin, Conrad Sanderson, Brian C. Lovell
This paper presents a survey and a comparative evaluation of recent techniques for moving cast shadow detection. We identify shadow removal as a critical step for improving object…
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…
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…