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» Learning to Estimate Scenes from Images
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ICIP
2007
IEEE
14 years 9 months ago
Unsupervised Modeling of Object Tracks for Fast Anomaly Detection
A key goal of far-field activity analysis is to learn the usual pattern of activity in a scene and to detect statistically anomalous behavior. We propose a method for unsupervised...
Tomas Izo, W. Eric L. Grimson
PREMI
2005
Springer
14 years 1 months ago
Hybrid Hierarchical Learning from Dynamic Scenes
The work proposes a hierarchical architecture for learning amic scenes at various levels of knowledge abstraction. The raw visual information is processed at different stages to g...
Prithwijit Guha, Pradeep Vaghela, Pabitra Mitra, K...
CVPR
2001
IEEE
14 years 9 months ago
A Probabilistic Framework for Surface Reconstruction from Multiple Images
This paper presents a novel probabilistic framework for 3D surface reconstruction from multiple stereo images. The method works on a discrete voxelized representation of the scene...
Motilal Agrawal, Larry S. Davis
ICML
2005
IEEE
14 years 8 months ago
High speed obstacle avoidance using monocular vision and reinforcement learning
We consider the task of driving a remote control car at high speeds through unstructured outdoor environments. We present an approach in which supervised learning is first used to...
Jeff Michels, Ashutosh Saxena, Andrew Y. Ng
CVPR
1999
IEEE
14 years 9 months ago
Implicit Representation and Scene Reconstruction from Probability Density Functions
A technique is presented for representing linear features as probability density functions in two or three dimensions. Three chief advantages of this approach are (1) a unified re...
Steven M. Seitz, P. Anandan