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2014 Book Chapter Secure face recognition for mobile applicationsLovell, Brian C. and Smith, Daniel F. (2014). Secure face recognition for mobile applications. Face Recognition in Adverse Conditions. (pp. 359-386) edited by Maria de Marsico, Michele Nappi and Massimo Tistarelli. Hershey, United States: Hershey Information Science Reference. doi: 10.4018/978-1-4666-5966-7.ch017 |
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2014 Journal Article Large plasma density enhancements occurring in the northern polar region during the 6 April 2000 superstormHorvath, Ildiko and Lovell, Brian C. (2014). Large plasma density enhancements occurring in the northern polar region during the 6 April 2000 superstorm. Journal of Geophysical Research A: Space Physics, 119 (6), 4805-4818. doi: 10.1002/2014JA019917 |
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2014 Journal Article Fisher tensors for classifying human epithelial cellsFaraki, Masoud, Harandi, Mehrtash T., Wiliem, Arnold and Lovell, Brian C. (2014). Fisher tensors for classifying human epithelial cells. Pattern Recognition, 47 (7), 2348-2359. doi: 10.1016/j.patcog.2013.10.011 |
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2014 Conference Publication Discovering discriminative cell attributes for HEp-2 specimen image classificationWiliem, Arnold, Hobson, Peter and Lovell, Brian C. (2014). Discovering discriminative cell attributes for HEp-2 specimen 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.2014.6836071 |
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2014 Conference Publication Multi-Action Recognition via Stochastic Modelling of Optical Flow and GradientsCarvajal, 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 |
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2013 Journal Article Dynamically Adaptive Control System for Bioanodes in Serially Stacked Bioelectrochemical SystemsAndersen, 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 |
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2013 Journal Article Improved foreground detection via block-based classifier cascade with probabilistic decision integrationReddy, 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 |
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2013 Conference Publication Classification of human epithelial type 2 cell indirect immunofluoresence images via codebook based descriptorsWiliem, Arnold, Wong, Yongkang, Sanderson, Conrad, Hobson, Peter, Chen, Shaokang and Lovell, Brian C. (2013). Classification of human epithelial type 2 cell indirect immunofluoresence images via codebook based descriptors. 2013 IEEE Workshop on Applications of Computer Vision (WACV), Tampa, FL, United States, 15-17 Janunary 2013. Piscataway, NJ, USA: IEEE (Institute for Electrical and Electronic Engineers). doi: 10.1109/WACV.2013.6475005 |
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2013 Conference Publication Region-based anomaly localisation in crowded scenes via trajectory analysis and path predictionZhang, 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 |
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2013 Conference Publication Dictionary earning and sparse coding on Grassmann manifolds: an extrinsic solutionHarandi, 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 |
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2013 Book Chapter Motion estimation in colour image sequencesBenois-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 |
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2013 Conference Publication Improved image set classification via joint sparse approximated nearest subspacesChen, 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 |
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2013 Conference Publication Spatio-temporal covariance descriptors for action and gesture recognitionSanin, 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 |
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2013 Journal Article Video surveillance: Past, present, and now the futurePorikli, 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 |
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2013 Book Chapter Graph-embedding discriminant analysis on Riemannian manifolds for visual recognitionShirazi, 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 |
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2013 Journal Article Equatorial westward electrojet impacting equatorial ionization anomaly development during the 6 April 2000 superstormHorvath, 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 |
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2013 Conference Publication Non-linear stationary subspace analysis with application to video classificationBaktashmotlagh, 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). |
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2013 Journal Article Kernel analysis on Grassmann manifolds for action recognitionHarandi, 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 |
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2013 Conference Publication Unsupervised domain adaptation by Domain Invariant ProjectionBaktashmotlagh, 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 |
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2013 Book Chapter Machine learning applications in computer visionHarandi, 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 |
