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» Object detection using spatial histogram features
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116
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ICPR
2002
IEEE
16 years 4 months ago
Spatial Texture Analysis: A Comparative Study
Image texture analysis has received a considerable amount of attention over the last few years as it forms the basis of most object recognition methods. It has been suggested by a...
Maneesha Singh, Sameer Singh
CVPR
2006
IEEE
16 years 5 months ago
A Framework for Feature Selection for Background Subtraction
Background subtraction is a widely used paradigm to detect moving objects in video taken from a static camera and is used for various important applications such as video surveill...
Toufiq Parag, Ahmed M. Elgammal, Anurag Mittal
ICIP
2006
IEEE
16 years 5 months ago
Image Compression using Object-Based Regions of Interest
A new architecture for region of interest (ROI) image coding is proposed. ROIs are defined as image regions containing objects of interest, and an efficient algorithm proposed for...
Sunhyoung Han, Nuno Vasconcelos
125
Voted
CVPR
2007
IEEE
16 years 5 months ago
Principal Curvature-Based Region Detector for Object Recognition
This paper presents a new structure-based interest region detector called Principal Curvature-Based Regions (PCBR) which we use for object class recognition. The PCBR interest ope...
Hongli Deng, Wei Zhang, Eric N. Mortensen, Thomas ...
ISBI
2006
IEEE
16 years 4 months ago
Application of temporal texture features to automated analysis of protein subcellular locations in time series fluorescence micr
Protein subcellular locations, as an important property of proteins, are commonly learned using fluorescence microscopy. Previous work by our group has shown that automated analys...
Yanhua Hu, Jesus Carmona, Robert F. Murphy