American Journal of Signal Processing

American Journal of Signal Processing publishes articles on signal processing research and applications. It covers aspects from fundamental principles to practical implementation, intending to bring up-to-date, emerging and active technical developments, issues, and events to the research, educational, and professional communities.


Nicholas Costen

Editorial Board Member of American Journal of Signal Processing

Assistant Professor, Manchester Metropolitan University, UK

Research Areas

Computer Vision, Cognitive Perception

Education

2001-2003Postgraduate Manchester Metropolitan University, Education (Higher Education)
1991-1994Ph.DUniversity of Aberdeen, Mathematics and Psychology
1989-1990M.ScUniversity of Reading, Research Methods in Psychology
1986-1989M.A.Queen's College, University of Oxford, Experimental Psychology

Experience

2011-presentReader in Cognitive Computer Vision, Division of Digital Media and Entertainment Technology, School of Computing, Mathematics and Digital Technology, The Manchester Metropolitan University
2001-2011Senior Lecturer in Computing, Division of Digital Media and Entertainment Technology, School of Computing, Mathematics and Digital Technology, The Manchester Metropolitan University
1997-2001Research Associate, Wolfson Image Analysis Unit, Division of Imaging Science and Biomedical Engineering, The University of Manchester
1995-1997Research Associate, Human Information Processing Laboratory, Advanced Telecommunications Research, Kyoto, Japan
1994-1995Visiting Researcher, Human Information Processing Laboratory, Advanced Telecommunications Research, Kyoto, Japan
1991-1995Research Assistant, Department of Mathematical Sciences, The University of Aberdeen

Publications: Conferences/Workshops/Symposiums/Journals/Books

[1]  H. Fang, N. P. Costen, P. Grant, and M. Chen. Advances in moving face recognition. In R. Qahwaji, R. Green, and H. Evor, editors, Applied Signal and Image Processing: Multidisciplinary Advancements. IGWE Global, 2011.
[2]  N. Butcher, K. Lander, H. Fang, and N. Costen. The effect of motion at encoding and retrieval for same and other race face recognition. British Journal of Psychology, 2011.
[3]  M. Topsom, P. Harding, and N. P. Costen. Mutual information based gesture recognition. In W. G. Kropatsch and P. Real Jurado, editors, Computer Analysis of Images and Patterns, volume 1, pages 571-578, 2011.
[4]  J. Darby, B. Li, and N. P. Costen. Tracking human pose with multiple activity models. Pattern Recognition, 43:3042-3058, 2010.
[5]  N. Poh, C. H. Chan, J. Kittler, S. Marcel, C. McCool, E. Argones R ua, J. Luis Alba Castro, M. Villegas, R. Paredes, V. Struc, N. Pave si c, A. Ali Salah, H. Fang, and N. P. Costen. An evaluation of video-to-video face verification. IEEE: Transactions on Information Forensics and Security, 5(4):781-801, 2010.
[6]  H. Fang and N. P. Costen. From rank-N to rank-1 face recognition based on motion similarity. In A. Cavallaro and S. Prince, editors, British Machine Vision Conference, 2009.
[7]  J. Darby, B. Li, N. P. Costen, D. Fleet, and N. Lawrence. Backing off: Hierarchical decomposition of activity for 3D novel pose recovery. In A. Cavallaro and S. Prince, editors, British Machine Vision Conference, 2009.
[8]  H. Fang and N. P. Costen. Behavioural consistency extraction for facial verification. In A. Eposito and R. Vich, editors, Cross-Modal Analysis, number 5641 in Lecture Notes in Computer Science, pages 291-306, 2009.
[9]  N. Poh, C. H. Chan, J. Kittler, S. Marcel, C. McCool, E. Argones R ua, J. Luis Alba Castro, M. Villegas, R. Paredes, V. Struc, N. Pave si c, A. Ali Salah, H. Fang, and N. P. Costen. Face video competition. In M. Tistarelli and M. S. Nixon, editors, Advances in Biometrics, number 5558 in Lecture Notes in Computer Science, pages 715-724, 2009.
[10]  H. Fang, N. P. Costen, D. Cristinacce, and J. Darby. 3D facial geometry recovery via group-wise optic ow. In J. Cohn, T. Huang, M. Pantic, and N. Sebe, editors, IEEE International Conference on Face and Gesture Recognition, 2008.
[11]  J. Darby, B. Li, and N. P. Costen. Activity classification for interactive game interfaces. International Journal of Computer Games Technology, 2008. Article ID 751268, 7 pages, doi:10.1155/2008/751268.
[12]  J. Darby, B. Li, and N. P. Costen. Tracking a walking person using activity guided annealed particle filtering. In J. Cohn, T. Huang, M. Pantic, and N. Sebe, editors, IEEE International Conference on Face and Gesture Recog-nition, 2008.
[13]  J. Darby, B. Li, and N. P. Costen. Human activity tracking from moving camera stereo data. In M. Everingham, C. Needham, and R. Fraile, editors, British Machine Vision Conference, volume 2, pages 865-874, 2008.
[14]  J. Darby, B. Li, and N. P. Costen. Behaviour based particle filtering for human articulated motion tracking. In R. Duin, D. Laurendeau, and B. Lovell, editors, International Conference on Pattern Recognition, 2008.
[15]  H. Fang and N. P. Costen. Tracking face localization with a hierarchical progressive face model. In J. Gonz aliz, T. B. Moeslund, and L. Wang, editors, Tracking Humans for the Evaluation of their Motion in Image Sequences, pages 89-99, 2008.
[16]  N. P. Costen, M. Brown, and S. Akamatsu. Sparse classifiers for perceptual modelling. In J. Grainger, F.-X. Alario, B. Burle, S. Desous, S. Defau, and N. Jansen, editors, Proceedings of the XVth meeting of the European Society for Cognitive Psychology, page 113, Marseille, France, 2007.
[17]  J. Darby, B. Li, and N. P. Costen. Human activity recognition: Enhancement for gesture based game interfaces. In E. Prakesh, editor, Cybergames, pages 115-120, Manchester, U.K., 2007.
[18]  H. Fang and N. P. Costen. 3D Face reconstruction under imfect tracking circumstances using shape model constraints. In D. Koracin G. Bebis, R. Boyle and B. Parvin, editors, Advances in Visual Computing, volume 4248 of Lecture Notes in Computer Science, pages 519-528, 2007.
[19]  Q. Meng, B. Li, N. Costen, and H. Holstein. Functional modelling of large scattered data sets using neural networks. In Artificial Neural Networks-ICANN 2007, volume 4668 of Lecture Notes on Computer Science, pages 441-449. Springer, Berlin/Heidelberg, 2007.
[20]  M. Brown and N. P. Costen. Exploratory basis pursuit classification. Pattern Recognition Letters, 26:1907-1915, 2005.
[21]  N. P. Costen, M. Brown, and S. Akamatsu. Sparse models for gender classification. In IEEE International Conference on Face and Gesture Recognition, pages 201-206, 2004.
[22]  M. Brown, N. P. Costen, and S. Akamatsu. Efficient calculation of the optimal classification set. In International Conference on Pattern Recognition, 2004.
[23]  M. Brown and N. P. Costen. Non-linear feature selection for classification. In British Machine Vision Conference, volume 2, pages 607-616, 2004.
[24]  N. P. Costen and M. Brown. Exploratory sparse models for face recognition. In British Machine Vision Conference, volume 1, pages 13-22, 2003.
[25]  N. P. Costen, T. F. Cootes, G. J. Edwards, and C. J. Taylor. Automatic extraction of the face identity-subspace. Image and Vision Computing, 20(5-6):319-329, March 2002.
[26]  N. P. Costen, T. F. Cootes, and C. J. Taylor. Compensating for ensemble-specific effects when building facial models. Image and Vision Computing, 20(9-10):673-682, August 2002.
[27]  N. P. Costen, T. F. Cootes, and C. J. Taylor. Markov fields for recognition derived from facial texture error. In British Machine Vision Conference, volume 2, pages 481-480, 2001.
[28]  D. M. Parker and N. P. Costen. One extreme or the other, or perhaps the golden mean? Issues of spatial resolution in face processing. In H Ellis and N MacRae, editors, Validation in Psychology: Research Perspectives, pages 151-162. Transaction Publishers, New Brunswick, NJ, 2001.
[29]  N. P. Costen, T. F. Cootes, and C. J. Taylor. Compensating for ensemble-specific effects when building facial models. In British Machine Vision Con-ference, volume 1, pages 62-71, 2000.
[30]  I. G. Craw, N. P. Costen, and T. Kato. How should we represent faces for automatic recognition? IEEE: Transactions on Pattern Analysis and Machine Intelligence, 21(8):725-736, 1999.
[31]  N. P. Costen, T. F. Cootes, G. J. Edwards, and C. J. Taylor. Automatic extraction of the face identity-subspace. In British Machine Vision Conference, volume 1, pages 492-497, 1999.
[32]  D. M. Parker and N. P. Costen. One extreme or the other, or perhaps the golden mean: Issues of spatial resolution in face processing. Current Psychology, 18:118-127, 1999.
[33]  N. P. Costen, T. F. Cootes, G. J. Edwards, and C. J. Taylor. Simultaneous extraction of functional face sub-spaces. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, volume 1, pages 492-497, 1999.
[34]  I. G. Craw N. P. Costen, T. Kato and S. Akamatsu. Horizontal and vertical composite effects in novel faces. Perception, 26(sup):52, 1997. (Proceedings of the 20th European Conference on Visual Perception).
[35]  S. Tagashira, N. P. Costen, and S. Akamatsu. A face image retrieval system based on principal component analysis. In Technical Report of IEICE, 1997.
[36]  N. P. Costen, I. G. Craw, G. M. Robertson, and S. Akamatsu. Automatic face recognition: What representation? In Computer Vision | ECCV'96, volume 1064 of Lecture Notes in Computing Science, pages 504-513, 1996.
[37]  N. P. Costen, I. G. Craw, T. Kato, G. Robertson, and S. Akamatsu. Manifold caricatures: On the psychological consistency of computer face recognition. In IEEE International Conference on Face and Gesture Recognition, pages 1-4, 1996.
[38]  N. P. Costen, T. Kato, I. G. Craw, and S. Akamatsu. Perceiving faces via a linear shape and texture space. Perception, 25(sup):91, 1996. (Proceedings of the 19th European Conference on Visual Perception).
[39]  N. P. Costen, I. G. Craw, and S. Akamatsu. Linearised shape and texture in face recognition. International Journal of Psychology, 31(2/3):301, 1996. (Proceedings of the XXVI International Congress of Psychology).
[40]  N. P. Costen, I. G. Craw, T. Kato, and S. Akamatsu. Manifold caricatures: Predicting facial transformations. In Proceedings of the Engineering Sciences Society Conference of the IEICE, pages 338-339, 1996.
[41]  N. P. Costen, I. G. Craw, and S. Akamatsu. Automatic face recognition: what representation ? In Technical Report of IEICE, volume HIP 95-32, pages 37-42, 1996.
[42]  N. P. Costen, D. M. Parker, and I. G. Craw. Effects of high-pass and low-pass spatial filtering on face recognition. Perception and Psychophysics, 58(4):602-612, 1996.
[43]  I. G. Craw, N. P. Costen, T. Kato, G. M. Robertson, and S. Akamatsu. Automatic face recognition: Combining configuration and texture. In IEEE Inter-national Conference on Face and Gesture Recognition, pages 53-58, 1995.
[44]  N. P. Costen, J. Shepherd, H. Ellis, and I. G. Craw. Masking of faces by facial and non-facial stimuli. Visual Cognition, 1:227-251, 1994.
[45]  N. P. Costen, D. M. Parker, and I. G. Craw. Spatial content and spatial quantisation effects in face recognition. Perception, 23(2):129-146, 1994.
[46]  N. P. Costen, I. G. Craw, H. Ellis, and J. Shepherd. Masking and temporal integration in face recognition. In Proceedings of the Society for the Promotion of the Visual Sciences, page 17, 1993.
[47]  N. P. Costen, I. G. Craw, H. Ellis, and J. Shepherd. Masking and temporal integration in face processing. Perception, 22(sup):104, 1993. (Proceedings of the 16th European Conference on Visual Perception).
[48]  D. M. Parker and N. P. Costen. Spatial frequnecy and internal masking in face images. Perception, 22(sup):48, 1993. (Proceedings of the 16th European Conference on Visual Perception).