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» Sequential Learning of Layered Models from Video
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DAGM
2010
Springer
14 years 9 months ago
3D Reconstruction Using an n-Layer Heightmap
We present a novel method for 3D reconstruction of urban scenes extending a recently introduced heightmap model. Our model has several advantages for 3D modeling of urban scenes: i...
David Gallup, Marc Pollefeys, Jan-Michael Frahm
ICPR
2006
IEEE
16 years 25 days ago
Automatic Acquisition of Context Models and its Application to Video Surveillance
This paper addresses the problem of automatically acquiring context models from data. Context and human behavior are represented using a state model, called situation model. This ...
James L. Crowley, Oliver Brdiczka, Patrick Reignie...
AAAI
2012
13 years 2 months ago
A Testbed for Learning by Demonstration from Natural Language and RGB-Depth Video
We are developing a testbed for learning by demonstration combining spoken language and sensor data in a natural real-world environment. Microsoft Kinect RGBDepth cameras allow us...
Young Chol Song, Henry A. Kautz
ICPR
2008
IEEE
15 years 6 months ago
Detecting queues at vending machines: A statistical layered approach
This paper presents a method for monitoring activities at a ticket vending machine in a video-surveillance context. Rather than relying on the output of a tracking module, which i...
Xavier Naturel, Jean-Marc Odobez
PREMI
2005
Springer
15 years 5 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...