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» Learning Hierarchical Models of Scenes, Objects, and Parts
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ICCV
2009
IEEE
2061views Computer Vision» more  ICCV 2009»
15 years 1 months ago
Background Subtraction for Freely Moving Cameras
Background subtraction algorithms define the background as parts of a scene that are at rest. Traditionally, these algorithms assume a stationary camera, and identify moving obj...
Yaser Sheikh, Omar Javed, Takeo Kanade
ICMI
2007
Springer
215views Biometrics» more  ICMI 2007»
14 years 2 months ago
Visual inference of human emotion and behaviour
We address the problem of automatic interpretation of nonexaggerated human facial and body behaviours captured in video. We illustrate our approach by three examples. (1) We intro...
Shaogang Gong, Caifeng Shan, Tao Xiang
ICRA
2010
IEEE
222views Robotics» more  ICRA 2010»
13 years 7 months ago
Pose estimation in heavy clutter using a multi-flash camera
We propose a novel solution to object detection, localization and pose estimation with applications in robot vision. The proposed method is especially applicable when the objects ...
Ming-Yu Liu, Oncel Tuzel, Ashok Veeraraghavan, Ram...
ICCV
2007
IEEE
14 years 2 months ago
Simultaneous Segmentation and 3D Reconstruction of Monocular Image Sequences
When trying to extract 3D scene information and camera motion from an image sequence alone, it is often necessary to cope with independently moving objects. Recent research has un...
Kemal Egemen Ozden, Konrad Schindler, Luc J. Van G...
AAAI
2012
11 years 11 months ago
Relative Attributes for Enhanced Human-Machine Communication
We propose to model relative attributes1 that capture the relationships between images and objects in terms of human-nameable visual properties. For example, the models can captur...
Devi Parikh, Adriana Kovashka, Amar Parkash, Krist...