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ICIP
2009
IEEE
14 years 8 months ago
Recognizing Human Actions By Fusing Spatio-temporal Appearance And Motion Descriptors
In this paper we propose a new method for human action categorization by using an effective combination of a new 3D gradient descriptor with an optic flow descriptor, to represent...
NIPS
2000
13 years 9 months ago
The Manhattan World Assumption: Regularities in Scene Statistics which Enable Bayesian Inference
Preliminary work by the authors made use of the so-called "Manhattan world" assumption about the scene statistics of city and indoor scenes. This assumption stated that ...
James M. Coughlan, Alan L. Yuille
CVPR
2011
IEEE
13 years 3 months ago
From 3D Scene Geometry to Human Workspace
We present a human-centric paradigm for scene understanding. Our approach goes beyond estimating 3D scene geometry and predicts the “workspace” of a human which is represented...
Abhinav Gupta, Scott Satkin, Alyosha Efros, Martia...
CVPR
2012
IEEE
11 years 10 months ago
Accidental pinhole and pinspeck cameras: Revealing the scene outside the picture
We identify and study two types of “accidental” images that can be formed in scenes. The first is an accidental pinhole camera image. These images are often mistaken for shad...
Antonio Torralba, William T. Freeman
ICMCS
2007
IEEE
133views Multimedia» more  ICMCS 2007»
14 years 2 months ago
Foreground Segmentation in Surveillance Scenes Containing a Door
We propose a new method for performing accurate background subtraction in scenes with a door, like a building entrance or a hallway. This kind of scene is common in surveillance a...
Andrew Miller, Mubarak Shah