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» Saliency detection based on short-term sparse representation
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CVPR
1996
IEEE
13 years 9 months ago
Sparse Representations for Image Decomposition with Occlusions
We study the problem of how to detect \interesting objects" appeared in a given image, I. Our approach is to treat it as a function approximation problem based on an over-red...
Michael J. Donahue, Davi Geiger, Tyng-Luh Liu, Rob...
IGARSS
2009
13 years 2 months ago
General Framework on Change Detection in a Sparse Domain
The paper presents a general framework for change detection in radar images, for an operational purpose and in the context of environmental monitoring. This framework is based on ...
Abdourrahmane M. Atto, Grégoire Mercier, Do...
MM
2006
ACM
330views Multimedia» more  MM 2006»
13 years 10 months ago
Visual attention detection in video sequences using spatiotemporal cues
Human vision system actively seeks interesting regions in images to reduce the search effort in tasks, such as object detection and recognition. Similarly, prominent actions in v...
Yun Zhai, Mubarak Shah
ICASSP
2010
IEEE
13 years 3 months ago
Human detection in images via L1-norm Minimization Learning
In recent years, sparse representation originating from signal compressed sensing theory has attracted increasing interest in computer vision research community. However, to our b...
Ran Xu, Baochang Zhang, Qixiang Ye, Jianbin Jiao
ICANN
2009
Springer
13 years 11 months ago
Multimodal Sparse Features for Object Detection
In this paper the sparse coding principle is employed for the representation of multimodal image data, i.e. image intensity and range. We estimate an image basis for frontal face i...
Martin Haker, Thomas Martinetz, Erhardt Barth