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2014

Conference Publication

Multi-Action Recognition via Stochastic Modelling of Optical Flow and Gradients

Carvajal, Johanna, Sanderson, Conrad, McCool, Chris and Lovell, Brian C. (2014). Multi-Action Recognition via Stochastic Modelling of Optical Flow and Gradients. MLSDA 2014 2nd Workshop on Machine Learning for Sensory Data Analysis, Gold Coast , QLD, Australia, 2 December 2014. New York, NY USA: ACM. doi: 10.1145/2689746.2689748

Multi-Action Recognition via Stochastic Modelling of Optical Flow and Gradients

2014

Journal Article

Automatic classification of Human Epithelial type 2 cell Indirect Immunofluorescence images using Cell Pyramid Matching

Wiliem, Arnold, Sanderson, Conrad, Wong, Yongkang, Hobson, Peter, Minchin, Rodney F. and Lovell, Brian C. (2014). Automatic classification of Human Epithelial type 2 cell Indirect Immunofluorescence images using Cell Pyramid Matching. Pattern Recognition, 47 (7), 2315-2324. doi: 10.1016/j.patcog.2013.10.014

Automatic classification of Human Epithelial type 2 cell Indirect Immunofluorescence images using Cell Pyramid Matching

2014

Conference Publication

Domain adaptation on the statistical manifold

Baktashmotlagh, Mahsa, Harandi, Mehrtash T., Lovell, Brian C. and Salzmann, Mathieu (2014). Domain adaptation on the statistical manifold. 27th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2014, Columbus, OH, United States, 23-28 June 2014. Piscataway, NJ, United States: I E E E Computer Society. doi: 10.1109/CVPR.2014.318

Domain adaptation on the statistical manifold

2014

Conference Publication

Random projections on manifolds of symmetric positive definite matrices for image classification

Alavi, Azadeh, Wiliem, Arnold, Zhao, Kun, Lovell, Brian C. and Sanderson, Conrad (2014). Random projections on manifolds of symmetric positive definite matrices for image classification. IEEE Winter Conference on Applications of Computer Vision (WACV 2014), Steamboat Springs, CO, United States, 24-26 March 2014. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/WACV.2014.6836085

Random projections on manifolds of symmetric positive definite matrices for image classification

2014

Conference Publication

Object tracking via non-Euclidean geometry: A Grassmann approach

Shiraz, Sareh, Harandi, Mehrtash T., Lovell, Brian C. and Sanderson, Conrad (2014). Object tracking via non-Euclidean geometry: A Grassmann approach. IEEE Winter Conference on Applications of Computer Vision (WACV 2014), Steamboat Springs, CO, United States, 24-26 March 2014. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/WACV.2014.6836008

Object tracking via non-Euclidean geometry: A Grassmann approach

2014

Conference Publication

Automatic image attribute selection for zero-shot learning of object categories

Liu, Liangchen, Wiliem, Arnold, Chen, Shaokang and Lovell, Brian C. (2014). Automatic image attribute selection for zero-shot learning of object categories. 22nd International Conference on Pattern Recognition, ICPR 2014, Stockholm, Sweden, 24-28 August, 2014. Washington, DC, United States: I E E E Computer Society. doi: 10.1109/ICPR.2014.452

Automatic image attribute selection for zero-shot learning of object categories

2013

Journal Article

Dynamically Adaptive Control System for Bioanodes in Serially Stacked Bioelectrochemical Systems

Andersen, Stephen J., Pikaar, Ilje, Freguia, Stefano, Lovell, Brian C., Rabaey, Korneel and Rozendal, Rene A. (2013). Dynamically Adaptive Control System for Bioanodes in Serially Stacked Bioelectrochemical Systems. Environmental Science and Technology, 47 (10), 5488-5494. doi: 10.1021/es400239k

Dynamically Adaptive Control System for Bioanodes in Serially Stacked Bioelectrochemical Systems

2013

Journal Article

Improved foreground detection via block-based classifier cascade with probabilistic decision integration

Reddy, Vikas, Sanderson, Conrad and Lovell, Brian (2013). Improved foreground detection via block-based classifier cascade with probabilistic decision integration. IEEE Transactions On Circuits And Systems For Video Technology, 23 (1) 6213100, 83-93. doi: 10.1109/TCSVT.2012.2203199

Improved foreground detection via block-based classifier cascade with probabilistic decision integration

2013

Book Chapter

Motion estimation in colour image sequences

Benois-Pineau, Jenny, Lovell, Brian C. and Andrews, Robert J. (2013). Motion estimation in colour image sequences. Advanced color image processing and analysis. (pp. 377-395) edited by Christine Fernandez-Maloigne. New York, NY, United States: Springer. doi: 10.1007/978-1-4419-6190-7_11

Motion estimation in colour image sequences

2013

Conference Publication

Improved image set classification via joint sparse approximated nearest subspaces

Chen, Shaokang, Sanderson, Conrad, Harandi, Mehrtash T and Lovell, Brian C. (2013). Improved image set classification via joint sparse approximated nearest subspaces. 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2013, Portland, OR United States, 23 - 28 June 2013. Piscataway, NJ United States: I E E E. doi: 10.1109/CVPR.2013.65

Improved image set classification via joint sparse approximated nearest subspaces

2013

Journal Article

Video surveillance: Past, present, and now the future

Porikli, Fatih, Bremond, Francois, Dockstader, Shiloh L., Ferryman, James, Hoogs, Anthony, Lovell, Brian C., Pankanti, Sharath, Rinner, Bernhard, Tu, Peter and Venetianer, Peter L. (2013). Video surveillance: Past, present, and now the future. IEEE Signal Processing Magazine, 30 (3) 6494685, 190-198. doi: 10.1109/MSP.2013.2241312

Video surveillance: Past, present, and now the future

2013

Conference Publication

Spatio-temporal covariance descriptors for action and gesture recognition

Sanin, Andres, Sanderson, Conrad, Harandi, Mehrtrash and Lovell, Brian (2013). Spatio-temporal covariance descriptors for action and gesture recognition. 2013 IEEE Workshop on Applications of Computer Vision, Tampa, FL, United States, 15-17 January 2013. Piscataway, NJ, United States: IEEE (Institute for Electrical and Electronic Engineers). doi: 10.1109/WACV.2013.6475006

Spatio-temporal covariance descriptors for action and gesture recognition

2013

Book Chapter

Graph-embedding discriminant analysis on Riemannian manifolds for visual recognition

Shirazi, Sareh, Alavi, Azadeh, Harandi, Mehrtash T. and Lovell, Brian C. (2013). Graph-embedding discriminant analysis on Riemannian manifolds for visual recognition. Graph Embedding for Pattern Analysis. (pp. 157-176) edited by Yun Fu and Yunqian Ma. New York, NY, USA: Springer. doi: 10.1007/978-1-4614-4457-2

Graph-embedding discriminant analysis on Riemannian manifolds for visual recognition

2013

Journal Article

Equatorial westward electrojet impacting equatorial ionization anomaly development during the 6 April 2000 superstorm

Horvath, Ildiko and Lovell, Brian C. (2013). Equatorial westward electrojet impacting equatorial ionization anomaly development during the 6 April 2000 superstorm. Journal of Geophysical Research A: Space Physics, 118 (11), 7398-7409. doi: 10.1002/2013JA019311

Equatorial westward electrojet impacting equatorial ionization anomaly development during the 6 April 2000 superstorm

2013

Conference Publication

Non-linear stationary subspace analysis with application to video classification

Baktashmotlagh, Mahsa, Harandi, Mehrtash T., Bigdeli, Abbas, Lovell, Brian C. and Salzmann, Mathieu (2013). Non-linear stationary subspace analysis with application to video classification. 30th International Conference on Machine Learning, Atlanta, GA, United States, 16 - 21 June 2013. Germany: International Machine Learning Society (IMLS).

Non-linear stationary subspace analysis with application to video classification

2013

Conference Publication

Unsupervised domain adaptation by Domain Invariant Projection

Baktashmotlagh, Mahsa, Harandi, Mehrtash T., Lovell, Brian C. and Salzmann, Mathieu (2013). Unsupervised domain adaptation by Domain Invariant Projection. 2013 IEEE International Conference on Computer Vision (ICCV), Sydney, Australia, 1-8 December 2013. Piscataway, NJ, United States: IEEE. doi: 10.1109/ICCV.2013.100

Unsupervised domain adaptation by Domain Invariant Projection

2013

Book Chapter

Machine learning applications in computer vision

Harandi, Mehrtash, Taheri, Javid and Lovell, Brian C. (2013). Machine learning applications in computer vision. Image processing: Concepts, methodologies, tools, and applications. (pp. 896-926) edited by Mehdi Khosrow-Pour. Hershey, PA., United States: IGI Global. doi: 10.4018/978-1-4666-3994-2.ch045

Machine learning applications in computer vision

2013

Journal Article

Kernel analysis on Grassmann manifolds for action recognition

Harandi, Mehrtash T., Sanderson, Conrad, Shirazi, Sareh and Lovell, Brian C. (2013). Kernel analysis on Grassmann manifolds for action recognition. Pattern Recognition Letters, 34 (15), 1906-1915. doi: 10.1016/j.patrec.2013.01.008

Kernel analysis on Grassmann manifolds for action recognition

2013

Conference Publication

Region-based anomaly localisation in crowded scenes via trajectory analysis and path prediction

Zhang, Teng, Wiliem, Arnold and Lovell, Brian C. (2013). Region-based anomaly localisation in crowded scenes via trajectory analysis and path prediction. 2013 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2013, Hobart, TAS, Australia, November 26, 2013-November 28, 2013. Piscataway, NJ, United States: IEEE. doi: 10.1109/DICTA.2013.6691519

Region-based anomaly localisation in crowded scenes via trajectory analysis and path prediction

2013

Conference Publication

Dictionary earning and sparse coding on Grassmann manifolds: an extrinsic solution

Harandi, Mehrtash, Sanderson, Conrad, Shen, Chunhua and Lovell, Brian C. (2013). Dictionary earning and sparse coding on Grassmann manifolds: an extrinsic solution. IEEE International Conference on Computer Vision (ICCV), Sydney, Australia, 1-8 December 2013. New York, NY United States: IEEE. doi: 10.1109/ICCV.2013.387

Dictionary earning and sparse coding on Grassmann manifolds: an extrinsic solution