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CVPR
2008
IEEE
14 years 10 months ago
Geo-spatial aerial video processing for scene understanding and object tracking
This paper presents an approach to extracting and using semantic layers from low altitude aerial videos for scene understanding and object tracking. The input video is captured by...
Jiangjian Xiao, Hui Cheng, Feng Han, Harpreet S. S...
CVPR
2003
IEEE
14 years 10 months ago
Learning Appearance and Transparency Manifolds of Occluded Objects in Layers
By mapping a set of input images to points in a lowdimensional manifold or subspace, it is possible to efficiently account for a small number of degrees of freedom. For example, i...
Brendan J. Frey, Nebojsa Jojic, Anitha Kannan
PAMI
2007
197views more  PAMI 2007»
13 years 8 months ago
A Lattice-Based MRF Model for Dynamic Near-Regular Texture Tracking
—A near-regular texture (NRT) is a geometric and photometric deformation from its regular origin—a congruent wallpaper pattern formed by 2D translations of a single tile. A dyn...
Wen-Chieh Lin, Yanxi Liu
EVENT
2001
173views more  EVENT 2001»
13 years 10 months ago
Recognizing Action Events from Multiple Viewpoints
A first step towards an understanding of the semantic content in a video is the reliable detection and recognition of actions performed by objects. This is a dificult problem due ...
Tanveer Fathima Syeda-Mahmood, M. Alex O. Vasilesc...
ICCV
2009
IEEE
15 years 1 months ago
Scene Categorization from Low Definition Video
In this paper we present a new method for categorizing video sequences capturing different scene classes. This can be seen as a generalization of previous work on scene classific...
Paritosh Gupta, Sai Sankalp Arrabolu, Mathew Brown...