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» Sequential Learning of Layered Models from Video
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226views
14 years 1 months ago
Modelling Multi-object Activity by Gaussian Processes
We present a new approach for activity modelling and anomaly detection based on non-parametric Gaussian Process (GP) models. Specifically, GP regression models are formulated to l...
Chen Change Loy, Tao Xiang, Shaogang Gong
ICPR
2002
IEEE
16 years 4 months ago
Narrative Structure Analysis with Education and Training Videos for E-Learning
This paper deals with the problem of structuralizing education and training videos for high-level semantics extraction and nonlinear media presentation in e-learning applications....
Quoc Dinh Phung, Chitra Dorai, Svetha Venkatesh
CVPR
2010
IEEE
15 years 11 months ago
Warping Background Subtraction
We present a background model that differentiates between background motion and foreground objects. Unlike most models that represent the variability of pixel intensity at a partic...
Teresa Ko, Stefano Soatto, Deborah Estrin
AGI
2008
15 years 4 months ago
Artificial General Intelligence through Large-Scale, Multimodal Bayesian Learning
Abstract. An artificial system that achieves human-level performance on opendomain tasks must have a huge amount of knowledge about the world. We argue that the most feasible way t...
Brian Milch
CIVR
2007
Springer
231views Image Analysis» more  CIVR 2007»
15 years 9 months ago
Classification of video events using 4-dimensional time-compressed motion features
Among the various types of semantic concepts modeled, events pose the greatest challenge in terms of computational power needed to represent the event and accuracy that can be ach...
Alexander Haubold, Milind R. Naphade