most citedImproved Anomaly Detection in Crowded Scenes via Cell-based Analysis of Foreground Speed, Size and Texture

194 citations · 799 across the 9 of their papers we have counts for

collaborators

9 papers

cs.LG2013179 cited

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…

cs.CV201318 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…

q-bio.CB201354 cited

Classification of Human Epithelial Type 2 Cell Indirect Immunofluoresence Images via Codebook Based Descriptors

Arnold Wiliem, Yongkang Wong, Conrad Sanderson +3

The Anti-Nuclear Antibody (ANA) clinical pathology test is commonly used to identify the existence of various diseases. A hallmark method for identifying the presence of ANAs is th…

cs.CV2013194 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.CV20135 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.CV2013138 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…