Current Research
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Multi-camera Correspondence
Multi-camera surveilllance, with a focus on learning the topology (i.e., connectivity) of the camera network, and doing cross-camera correspondence.
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Object Classification from Silhouettes
Learning to classify objects into semantic categories (such as vehicles and pedestrians) from foreground silhouettes. Supervised and unsupervised learning methods are being explored.
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Learning Models of Activities
Learning semantic scene models from long term observations of object activities in
the scene.
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Vehicle Classification
Studying current techniques for generic class recognition.
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Unsupervised Activity Perception in Crowded and Busy Scenes by Hierarchical Bayesian Model
Model activities and interactions in crowded and busy scenes in an unsupervised way without tracking.
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Event Detection
Detect loitering events, and several events involving interactions between actors and their luggage.
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Discovering Objects from Image Collections and Video Sequences
Discover objects without supervision using the Spatial Dirichlet Allocation Model.
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Background Subtraction
A generalization of the mixture of Gaussian model that can handle dynamic textures such as trees waiving in the wind and rippling water.
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