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A General Bayesian Multilinear Analysis Framework for Human Behaviour Recognition

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

Project Member(s): Tao, D.

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

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 Transactions On Image Processing, vol. 22, no. 11, pp. 4510-4521.
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Li, J & Tao, D 2013, 'Exponential Family Factors For Bayesian Factor Analysis', IEEE Transactions On Neural Networks And Learning Systems, vol. 24, no. 6, pp. 964-976.
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Li, J & Tao, D 2013, 'Simple Exponential Family PCA', IEEE Transactions on Neural Networks and Learning Systems, 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 Transactions on Neural Networks and Learning Systems, 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 Transactions On Image Processing, vol. 22, no. 8, pp. 3283-3295.
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Zhang, C & Tao, D 2013, 'Risk Bounds Of Learning Processes For Levy Processes', Journal of Machine Learning Research, vol. 14, pp. 351-376.
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Zhang, K, Gao, X, Tao, D & Li, X 2013, 'Single Image Super-Resolution With Multiscale Similarity Learning', IEEE Transactions On Neural Networks And Learning Systems, 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 Transactions on Geoscience and Remote Sensing, 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 Transactions On Circuits And Systems For Video Technology, vol. 23, no. 7, pp. 1182-1190.
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Geng, B, Tao, D, Xu, C, Yang, L & Hua, X 2012, 'Ensemble Manifold Regularization', IEEE Transactions On Pattern Analysis And Machine Intelligence, 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 Recognition, vol. 45, no. 11, pp. 4044-4053.
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Su, Y, Gao, X, Li, X & Tao, D 2012, 'Multivariate multilinear regression', IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 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 Transactions on Multimedia Computing Communications and Applications, vol. 8, no. 3, pp. 1-19.
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Wang, M, Li, H, Tao, D, Lu, K & Wu, X 2012, 'Multimodal graph-based reranking for web image search', IEEE Transactions On Image Processing, 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 Processing, 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 Transactions On Image Processing, 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', Machine Learning, vol. 88, no. 1-2, pp. 69-126.
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He, L, Tao, D, Li, X & Gao, X 2012, 'Sparse representation for blind image quality assessment', 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE Conference on Computer Vision and Pattern Recognition, IEEE, Providence, USA, pp. 1146-1153.
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Liu, X, Song, M, Zhang, L, Tao, D, Bu, J & Chen, C 2012, 'Pedestrian detection using a mixture mask model', 2012 9th IEEE International Conference on Networking, Sensing and Control (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 2012, 'Multi-scale dictionary for single image super-resolution', 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE Conference on Computer Vision and Pattern Recognition, IEEE, Providence, USA, pp. 1114-1121.
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Zhou, T & Tao, D 2012, '1-bit Hamming compressed sensing', IEEE International Symposium on Information Theory - Proceedings, IEEE International Symposium on Information Theory, IEEE, Cambridge, USA, pp. 1862-1866.
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Zhou, T & Tao, D 2012, '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)