Tracking and Behaviour Modelling
finding new ways to represent, learn and apply visual models of behaviour
Our research on the visual analysis of behaviour has focussed largely, but not exclusively, on human behaviour. We are interested in all aspects of this problem, including fundamental research on categorisation, tracking, segmentation and stochastic modelling, through to applied work addressing social and commercial priorities. Some of our recent work, in collaboration with the School's KRR group, is exploring the integration of vision within a broader cognitive framework, including audition, inductive reasoning, and intentionality.
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Protocol learningLearning games from observation |
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Learning about activities from videoA new EPSRC funded project to investigate unsupervised learning of activities from video. |
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Detecting Carried ObjectsDetecting carried objects in short video sequences |
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Watermark ExtractionPaper-based Watermark Extraction with Image Processing |
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IntentionalityUsing psychological ideas of intentionality and goal-directedness within behaviour modelling |
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Temporal ContinuityEnforcing global spatio-temporal consistency to enhance reliability of moving object tracking and classification |
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Traffic InteractionsModelling traffic interaction using learnt qualitative spatio-temporal relations and variable length Markov models |
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Car TrackingA generic object tracker, demonstrated tracking vehicles |
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Music via MotionCreating an augmented and interactive audio-visual space |
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Synthetic InteractionSynthesising an interactive agent by learning from the interactive behaviour of people |
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Soccer TrackingTracking the movements of individual players in team games |
The projects shown below have been undertaken in Leeds, some time ago now, but are still of interest. Please follow the links below to find out more... | |
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Electronic stockman's eyeTracking cows and looking for abnormalities in their movements |
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VLMMs of behaviourLearning variable length markov models of human behaviour |
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IMVDetecting unusual events by modelling simple interactions between people and vehicles |
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OMROptical music recognition (with dept. of music) |
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Behaviour modellingModelling of `object behaviours' using detailed, learnt statistical models |
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Hand trackingRobust, model-based methods for tracking deformable objects |
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Pedestrian trackingContour tracking using Active Shape Models.Source code for the Baumberg tracker. |

![[Image of cogvis game playing]](http://www.comp.leeds.ac.uk/chrisn/mip/electrolux202_small.jpg)
![[Image of Smarties]](http://www.comp.leeds.ac.uk/vision/lavid/four.jpeg)
![[Detecting Carried Objects]](http://www.comp.leeds.ac.uk/dima/BagD.jpg)
![[Image of WaterMark Extraction]](http://www.leeds.ac.uk/icsrim/watermark/images/watex.jpg)
![[Image of intentional map]](http://www.comp.leeds.ac.uk/vision/intentionality/intentionality_small.jpg)
![[Image of cogvis game playing]](http://www.comp.leeds.ac.uk/vision/proj/afro/outfile0087.jpg)
![[Image of cogvis game playing]](http://www.comp.leeds.ac.uk/vision/cogvis/op.gif)
![[Image of Music via Motion]](http://www.comp.leeds.ac.uk/vision/images/mvm_dance128x84.jpg)
![[Image of synthetic head]](http://www.comp.leeds.ac.uk/dch/resources/interaction.jpg)
![[Image of soccer player tracking]](http://www.comp.leeds.ac.uk/chrisn/research/res_track2.jpg)
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