M. Walter, A. Psarrou, and S. Gong. Learning prior and observation augmented density models for behaviour recognition. In British Machine Vision Conference, pages 23-32, 1999.  Home/Search Document Details and Download
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Detecting lameness using `Re-sampling Condensation' and.. - Roger (Correct)
....the field of temporal modelling (prediction and classification) of objects. Johnson and Hogg [12] use condensation to propagate multiple prediction hypothesis for pedestrian trajectory classification. In this method, object tracking is performed by a separate (deterministic) module. Walter et al. [13,14] show that incorporating current observation information into this scheme gives improved classification results for human trajectory and gesture classification applications. Again, object tracking is performed by a separate module. Black and Jepson [15] use a similar scheme with multiple temporal ....
M. Walter, A. Psarrou, S. Gong, Learning prior and observation augmented density models for behaviour recognition, Proceedings of BMVC, 1999, pp. 23 -- 32.
Spatial and Probabilistic Modelling of Pedestrian Behaviour - Makris, Ellis (2002) (Correct)
....[3] low level models (state models) are learnt initially and then midlevel models (behaviour models) are constructed. Object behaviour prediction is performed by a Markov Chain. However, this approach lacks high level interpretation of the scene and the behaviour. A Hidden Markov Model is used in [4] for behaviour recognition. The method requires only the entry exit areas of the scene, which are defined manually, and segments the scene by uncovering the hidden states of the model. However, results were only provided for video sequences derived from a wellcontrolled environment, so the ....
Michael Walter, Alexandra Psarrou and Shaogang Gong, Learning Prior and Observation Augmented Density Models for Behaviour Recognition, British Machine Vision Conference, Nottingham, UK September 1999.
Learning Stochastic Path Planning Models from Video Images - Parise, Smyth (2004) (Correct)
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M. Walter, A. Psarrou, and S. Gong. Learning prior and observation augmented density models for behaviour recognition. In British Machine Vision Conference, pages 23-32, 1999.
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