15 Result(s)
within
Computer Science
Computer Imaging, Vision, Pattern Recognition and Graphics
Image Processing and Computer Vision
Probability and Statistics in Computer Science
**u Tao
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Modelling Rare and Subtle Behaviours
One of the most desired capabilities for automated visual analysis of behaviour is the identification of rarely occurring and subtle behaviours of genuine interest. This is of practical value because the behav...
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Person Re-identification
A fundamental task for a distributed multi-camera system is to associate people across camera views at different locations and times. In a crowded and uncontrolled environment observed by cameras from a distan...
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About Behaviour
Understanding and interpreting behaviours of objects, and in particular those of humans, is central to social interaction and communication. In particular, visual behaviour refers to the actions or reactions o...
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Towards Modelling Behaviour
Automatic interpretation of object behaviour requires constructing computational models of behaviour. In particular, it is desirable to automatically learn behaviour models directly from visual observations. I...
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Modelling Gesture
Gesture, particularly hand gesture, is an important part of human body language which conveys messages and reveals human intention and emotional state. Automatic interpretation of gesture provides an important...
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Supervised Learning of Group Activity
In a public space, actions of individuals are commonly observed as elements of group activities, and are likely to involve multiple objects interacting or co-existing in a shared space. Group activity modellin...
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Hierarchical Behaviour Discovery
Behaviour of groups of objects observed in a crowded public space is typically complex and uncertain. What is considered to be ‘subjectively interesting behaviour’ to a human observer can be influenced by a wi...
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Multi-camera Behaviour Correlation
For gaining a more holistic sense of situational awareness, a primary goal for a multi-camera system is to provide a more complete record and survey a trail of object activities in wide-area spaces, both indiv...
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Connecting the Dots
One of the ultimate goals for automated visual analysis of distributed object behaviour is to bring about a coherent understanding of partially observed uncertain sensory data from the past and present, and to...
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Behaviour in Context
Interpreting behaviour from object action and activity is inherently subject to the context of a visual environment within which action and activity take place. Context embodies not only the spatial and tempor...
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Understanding Facial Expression
Facial expression is a natural and efficient means for humans to communicate their emotions and intentions, as communication is primarily carried out face to face. Expression can be recognised by either static...
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Action Recognition
Understanding the meaning of actions is essential for human social communication. Automatic visual analysis of actions is important for visual surveillance, video indexing and browsing, and analysis of sportin...
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Unsupervised Behaviour Profiling
Given a large quantity of unprocessed videos of object activities, the goal of automatic behaviour profiling is to learn a model that is capable of detecting unseen abnormal behaviour patterns whilst recognisi...
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Learning Behavioural Context
Visual context is the environment, background, and settings within which objects and associated behaviours are observed visually. A semantic interpretation of behaviour depends largely on knowledge of spatial ...
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Man in the Loop
Video data captured from a public space is typically characterised by highly imbalanced behaviour class distribution. Most of the captured data examples reflect normal behaviours. Unusual behaviours, either be...
