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A General Bayesian Multilinear Analysis Framework for Human Behaviour Recognition

Funding: 2012: $133,000
2013: $120,000
2014: $125,000

Funding or Partner Organisation: Australian Research Council (Other funds for ARC projects)
Australian Research Council (ARC Discovery Projects)
Birkbeck College

Start year: 2012

Summary: This project will develop a Bayesian multilinear analysis framework for the vast quantities of images obtained from surveillance videos. The analysis will focus on recognising and recording behaviours in order to build a database of the activities in the area under surveillance. This database will be used to combat crime and terrorism and to give warnings of hazardous situations such as overcrowding, jaywalking or trespassing in areas such as railway tracks. The advantages of the Bayesian approach are that it is logically well founded and that it makes the best use of the available information. The results will enhance Australia's key infrastructures and help maintain Australia's leading role in machine learning and computer vision.

Publications:

Li, J & Tao, D 2013, 'A Bayesian Hierarchical Factorization Model for Vector Fields.', IEEE Trans. Image Process., vol. 22, no. 11, pp. 4510-4521.
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Li, J & Tao, D 2013, 'Exponential Family Factors for Bayesian Factor Analysis.', IEEE Trans. Neural Networks Learn. Syst., vol. 24, no. 6, pp. 964-976.
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Li, J & Tao, D 2013, 'Simple Exponential Family PCA.', IEEE Trans. Neural Networks Learn. Syst., vol. 24, no. 3, pp. 485-497.
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Luo, Y, Tao, D, Xu, C, Xu, C, Liu, H & Wen, Y 2013, 'Multiview Vector-Valued Manifold Regularization for Multilabel Image Classification.', IEEE Trans. Neural Networks Learn. Syst., vol. 24, no. 5, pp. 709-722.
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Song, M, Tao, D, Sun, S, Chen, C & Bu, J 2013, 'Joint Sparse Learning for 3-D Facial Expression Generation.', IEEE Trans. Image Process., vol. 22, no. 8, pp. 3283-3295.
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Zhang, C & Tao, D 2013, 'Risk bounds of learning processes for Lévy processes.', J. Mach. Learn. Res., vol. 14, pp. 351-376.

Zhang, K, Gao, X, Tao, D & Li, X 2013, 'Single Image Super-Resolution With Multiscale Similarity Learning.', IEEE Trans. Neural Networks Learn. Syst., vol. 24, no. 10, pp. 1648-1659.
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Zhang, L, Zhang, L, Tao, D & Huang, X 2013, 'Tensor Discriminative Locality Alignment for Hyperspectral Image Spectral-Spatial Feature Extraction.', IEEE Trans. Geosci. Remote. Sens., vol. 51, no. 1, pp. 242-256.
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Zhen, X, Shao, L, Tao, D & Li, X 2013, 'Embedding Motion and Structure Features for Action Recognition.', IEEE Trans. Circuits Syst. Video Technol., vol. 23, no. 7, pp. 1182-1190.
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Geng, B, Tao, D, Xu, C, Yang, L & Hua, X-S 2012, 'Ensemble Manifold Regularization.', IEEE Trans. Pattern Anal. Mach. Intell., vol. 34, no. 6, pp. 1227-1233.
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Li, J, Tao, D & Li, X 2012, 'A probabilistic model for image representation via multiple patterns.', Pattern Recognit., vol. 45, no. 11, pp. 4044-4053.
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Su, Y, Gao, X, Li, X & Tao, D 2012, 'Multivariate Multilinear Regression.', IEEE Trans. Syst. Man Cybern. Part B, vol. 42, no. 6, pp. 1560-1573.
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Tian, X, Tao, D & Rui, Y 2012, 'Sparse transfer learning for interactive video search reranking.', ACM Trans. Multim. Comput. Commun. Appl., vol. 8, no. 3, pp. 26:1-26:1.
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Wang, M, Li, H, Tao, D, Lu, K & Wu, X 2012, 'Multimodal Graph-Based Reranking for Web Image Search.', IEEE Trans. Image Process., vol. 21, no. 11, pp. 4649-4661.
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Yu, J, Cheng, J & Tao, D 2012, 'Interactive cartoon reusing by transfer learning.', Signal Process., vol. 92, no. 9, pp. 2147-2158.
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Zhang, K, Gao, X, Tao, D & Li, X 2012, 'Single Image Super-Resolution With Non-Local Means and Steering Kernel Regression.', IEEE Trans. Image Process., vol. 21, no. 11, pp. 4544-4556.
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Zhang, K, Mu, G, Yuan, Y, Gao, X & Tao, D 2012, 'Video super-resolution with 3D adaptive normalized convolution.', Neurocomputing, vol. 94, pp. 140-151.
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Zhou, T, Tao, D & Wu, X 2012, 'Compressed labeling on distilled labelsets for multi-label learning.', Mach. Learn., vol. 88, no. 1-2, pp. 69-126.
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He, L, Tao, D, Li, X & Gao, X 1970, 'Sparse representation for blind image quality assessment.', CVPR, IEEE Conference on Computer Vision and Pattern Recognition, IEEE Computer Society, Providence, USA, pp. 1146-1153.
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Liu, X, Song, M, Zhang, L, Tao, D, Bu, J & Chen, C 1970, 'Pedestrian detection using a mixture mask model.', ICNSC, International Conference on Networking, Sensing and Control, IEEE, Beijing, China, pp. 271-276.
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Zhang, K, Gao, X, Tao, D & Li, X 1970, 'Multi-scale dictionary for single image super-resolution.', CVPR, IEEE Conference on Computer Vision and Pattern Recognition, IEEE Computer Society, Providence, USA, pp. 1114-1121.
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Zhou, T & Tao, D 1970, '1-bit Hamming compressed sensing.', ISIT, IEEE International Symposium on Information Theory, IEEE, Cambridge, USA, pp. 1862-1866.
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Zhou, T & Tao, D 1970, 'Bilateral Random Projections', 2012 IEEE International Symposium on Information Theory Proceedings (ISIT), IEEE International Symposium on Information Theory, IEEE, Cambridge, USA, pp. 1286-1290.
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Keywords: Machine LearningComputer VisionVideo SurveillanceBayesian Analysis

FOR Codes: Pattern Recognition and Data Mining, Intelligence, Computer Vision, Electronic Information Storage and Retrieval Services, Film and Video Services (excl. Animation and Computer Generated Imagery), Data mining and knowledge discovery, Intelligence, surveillance and space, Radio, television, film and video services