Below there are some of the key publications of ACASVA members at Surrey (this may not be updated frequently). This link shows a more up to date list of publications by our members, buy may include papers from other projects.
13. I Almajai and F Yan and T deCampos and A Khan and W Christmas and D Windridge and J Kittler, Anomaly detection and knowledge transfer in automatic sports video annotation. In Studies in Computational Intelligence, 2012. (pdf)
12. T E deCampos and G Csurka and F Perronnin, Images as Sets of Locally Weighted Features. In Computer Vision and Image Understanding, 2012. (pdf)
11. J Sanchez and F Perronnin and T E deCampos, Modeling the Spatial Layout of Images Beyond Spatial Pyramids. In Pattern Recognition Letters, 2012. (pdf)
10. Q Huang and S Cox and F Yan and T E deCampos and D Windridge and J Kittler and W Christmas, Improved Detection of Ball Hit Events in a Tennis Game Using Multimodal Information. In 11th International Conference on Auditory-Visual Speech Processing (AVSP), 2011. (pdf)
9. T deCampos and M Barnard and K Mikolajczyk and J Kittler and F Yan and W Christmas and D Windridge, An evaluation of bags-of-words and spatio-temporal shapes for action recognition. In IEEE Workshop on Applications of Computer Vision (WACV), 2011. (pdf)
8. N FarajiDavar and T E deCampos and D Windridge and J Kittler and W Christmas, Domain Adaptation in the Context of Sport Video Action Recognition. In Domain Adaptation Workshop, in conjunction with NIPS, 2011. (pdf)
7. N FarajiDavar and T E deCampos and J Kittler and F Yan, Transductive Transfer Learning for Action Recognition in Tennis Games. In 3rd International Workshop on Video Event Categorization, Tagging and Retrieval for Real-World Applications (VECTaR), in conjunction with ICCV, 2011. (pdf)
6. T E deCampos and G Csurka and F Perronnin, Images as Sets of Locally Weighted Features. In VSSP-TR-1/2010, 2010. (pdf)
5. J J McAuley and T E deCampos and T S Caetano, Unified graph matching in Euclidean spaces. In Conference on Computer Vision and Pattern Recognition (CVPR), 2010. (pdf)
4. Almajai, F Yan, T de Campos, A Khan, W Christmas, D Windridge and J Kittler, Anomaly Detection and Knowledge Transfer in Automatic Sports Video Annotation. In Proceedings of DIRAC Workshop, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2010), 2010. (pdf)
3. Aftab Khan and David Windridge and Teofilo de Campos and Josef Kittler and William Christmas, Lattice-based Anomaly Rectification for Sport Video Annotation. In Proceedings of ICPR 2010, 2010. (pdf)
2. I Almajai and J Kittler and T DeCampos and W. Christmas and F Yan and D Windridge and A Khan, BALL EVENT RECOGNITION USING HMM FOR AUTOMATIC TENNIS ANNOTATION. In Proceedings of Intl. Conf. on Image Proc., 2010. (pdf)
1. Julian McAuley, Teo de Campos and Tiberio Caetano, Unified Graph Matching in Euclidean Spaces, 23rd IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 13-18 June 2010, San Francisco. (pdf)
2. Hierarchical Language Modeling for Audio Events Detection in a Sports Game, Qiang Huang and Stephen Cox, Proc. IEEE Conf. on Acoustics, Speech and Signal Processing, Dallas, 2010. (pdf)
1. Using High-level Information to Detect Key Audio Events in a Tennis Game, Qiang Huang and Stephen Cox, Proc. 13th International Conference on Spoken Language Processing (Interspeech), Makuhari, September 2010. (pdf)
4. Taya, S., & Miura, K. (2010). Cast shadow can modulate the judged final position of a moving target. Attention, Perception & Psychophysics, 72, 1930-1937.
3. Osman, M. (2010). Controlling Uncertainty: A Review of Human Behavior in Complex Dynamic Environments. Psychological Bull., 136, 65-86.
2. Osman, M., & Speekenbrink (in press).Information sampling and strategy development in complex dynamic control environments. Cognitive Systems Research.
1. Osman, M. (2010). Controlling Uncertainty: Learning and Decision Making in complex worlds. Blackwell Publishers.
1. J.V. Kittler, W.J. Christmas, A. Kostin, F. Yan, I. Kolonias, and D. Windridge. A memory architecture and contextual reasoning framework for cognitive vision. pages 343–358, 2005.
2. M. Delakis, G. Gravier, and P. Gros. Multimodal segmental-based modeling of tennis video broadcasts. pages 546–549, July 2005.
3. Fei Yan, William Christmas, and Josef Kittler. Layered data association using graphtheoretic formulation with application to tennis ball tracking in monocular sequences. IEEE Trans. Pattern Anal. Mach. Intell., 30(10):1814–1830, 2008.
4. B. Neumann and T. Weiss. Navigating through logic-based scene models for high-level scene interpretations. page 212 ff, 2003.(pdf)
1. John M. Henderson. Human gaze control during real-world scene perception. Trends in Cognitive Sciences, 7(11):498–504, November 2003.(pdf)
2. Anne M. Treisman and Garry Gelade. A feature-integration theory of attention. Cognitive Psychology, 12(1):97–136, January 1980.(pdf)
3. Jeremy M. Wolfe. Guided search 2.0: A revised model of visual search. Psychonomic Bulletin and Review, 1(2):202–238, 1994.(pdf)
4. Ronald A. Rensink. The dynamic representation of scenes. Visual Cognition, pages 17–42, January 2000.(pdf)