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2019 Book Chapter Deep learning in person re-identification for cyber-physical surveillance systemsWu, Lin, Lovell, Brian C. and Wang, Yang (2019). Deep learning in person re-identification for cyber-physical surveillance systems. Deep Learning Applications for Cyber Security. (pp. 45-72) edited by Alazab, M. and Tang, M. J.. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-13057-2_3 |
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2017 Book Chapter Solving classification problems on human epithelial type 2 cells for anti-nuclear antibodies test: traditional versus contemporary approachesWiliem, Arnold and Lovell, Brian C. (2017). Solving classification problems on human epithelial type 2 cells for anti-nuclear antibodies test: traditional versus contemporary approaches. Pattern recognition and Big Data. (pp. 605-632) edited by Amita Pal and Sankar K. Pal. Singapore: World Scientific. doi: 10.1142/9789813144552_0018 |
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2015 Book Chapter Coordinate coding on the riemannian manifold of symmetric positive-definite matrices for image classificationHarandi, Mehrtash, Basirat, Mina and Lovell, Brian C. (2015). Coordinate coding on the riemannian manifold of symmetric positive-definite matrices for image classification. Riemannian computing in computer vision. (pp. 345-361) edited by Pavan Turaga and Anuj Srivastava. Cham, Switzerland: Springer. doi: 10.1007/978-3-319-22957-7_16 |
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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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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 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 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 |
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2012 Book Chapter Machine learning applications in computer visionHarandi, Mehrtash, Taheri, Javid and Lovell, Brian C. (2012). Machine learning applications in computer vision. Machine Learning Algorithms for Problem Solving in Computational Applications: Intelligent Techniques. (pp. 99-132) Hershey, Pennsylvania, USA: IGI Global. doi: 10.4018/978-1-4666-1833-6.ch007 |
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2010 Book Chapter Intelligent surveillance and pose-invariant 2D face classificationLovell, Brian C., Sanderson, Conrad and Shan, Ting (2010). Intelligent surveillance and pose-invariant 2D face classification. Machine interpretation of patterns: Image analysis and data mining. (pp. 207-229) edited by Rajat K. de, Deba Prasad Mandel and Ashish Ghosh. Singapore, Republic of Singapore: World Scientific. doi: 10.1142/9789814299190_0011 |
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2009 Book Chapter Intelligent CCTV for mass transport security: Challenges and opportunities for video and face processingSanderson, Conrad, Bigdeli, Abbas, Shan, Ting, Chen, Shaokang, Berglund, Erik and Lovell, Brian C. (2009). Intelligent CCTV for mass transport security: Challenges and opportunities for video and face processing. Progress in Computer Vision and Image Analysis. (pp. 557-573) edited by Horst Bunke, Juan José Villanueva, Gemma Sánchez and Xavier Otazu. Singapore: World Scientific. doi: 10.1142/9789812834461_0030 |
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2008 Book Chapter Robust Face recognition for Data MiningLovell, Brian C. and Chen, Shaokang (2008). Robust Face recognition for Data Mining. Data Warehousing and Mining: Concepts, Methodologies, Tools and Applications. (pp. 3621-3629) edited by John Wang. Hershey, PA: Information Science Reference. |
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2008 Book Chapter Robust face recognition technique for a real-time embedded face recognition systemShan, Ting, Bigdeli, Abbas, Lovell, Brian C. and Chen, Shaokang (2008). Robust face recognition technique for a real-time embedded face recognition system. Pattern recognition technologies and applications : Recent advances. (pp. 188-211) edited by Brijesh Verma and Michael Blumenstein. Hershey, PA, U.S.A.: Information Science Reference. doi: 10.4018/978-1-59904-807-9.ch008 |
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2008 Book Chapter Real-time face detection and classification for ICCTVLovell, Brian C., Chen, Shaokang and Shan, Ting (2008). Real-time face detection and classification for ICCTV. Encyclopedia of Data Warehousing and Mining. (pp. 1-19) edited by John Wang. Hershey, PA: Information Science Reference. |
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2008 Book Chapter An Automatic Offline Signature and Forgery Detection SystemMadasu, Vamsi Krishna and Lovell, Brian C. (2008). An Automatic Offline Signature and Forgery Detection System. Pattern recognition technologies and applications : Recent advances. (pp. 63-89) edited by Brijesh Verma and Michael Blumenstein. Hersey, PA: Information Science Reference. doi: 10.4018/978-1-59904-807-9.ch004 |
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2007 Book Chapter Support vector machines for business applicationsLovell, Brian C. and Walder, Christian J. (2007). Support vector machines for business applications. Mathematical Methods for Knowledge Discovery and Data Mining. (pp. 82-100) IGI Global. doi: 10.4018/978-1-59904-528-3.ch005 |
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2007 Book Chapter Intelligent CCTV via planetary sensor networkShan, T., Lovell, B.C and Chen, S. (2007). Intelligent CCTV via planetary sensor network. Sensor Networks and Configuration : Fundamentals, Standards, Platforms, and Applications. (pp. 463-484) edited by Nitaigour P. Mahalik. Berlin, Germany: Springer. |
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2006 Book Chapter Support Vector Machines for Business ApplicationsLovell, Brian C. and Walder, Christian J. (2006). Support Vector Machines for Business Applications. Business Applications and Computational Intelligence. (pp. 267-290) edited by K. Voges and N. Pope. Hershey, PA., U.S.A.: Idea Group. doi: 10.4018/978-1-59140-702-7.ch014 |
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2005 Book Chapter Robust Face Recognition for Data MiningLovell, Brian C. and Chen, Shaokang (2005). Robust Face Recognition for Data Mining. Encyclopedia of Data Warehousing and Mining. (pp. 965-972) edited by Wang, John. Hershey, USA: Idea Group. |
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2005 Book Chapter Hidden Markov models for spatio-temporal pattern recognitionLovell, Brian C. and Caelli, Terry (2005). Hidden Markov models for spatio-temporal pattern recognition. Handbook of pattern recognition and computer vision. (pp. 25-40) edited by C. H. Chen and P. S. P. Wang. Singapore: World Scientific Publications. doi: 10.1142/9789812775320_0002 |
