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ICIP
2009
IEEE
13 years 6 months ago
Robust object tracking using correspondence voting for smart surveillance visual sensing nodes
This paper presents a bottom-up tracking algorithm for surveillance applications where speed and reliability in the case of multiple matches and occlusions are major concerns. The...
Mayssaa Al Najjar, Soumik Ghosh, Magdy Bayoumi
CVPR
2008
IEEE
14 years 10 months ago
Recognition by association via learning per-exemplar distances
We pose the recognition problem as data association. In this setting, a novel object is explained solely in terms of a small set of exemplar objects to which it is visually simila...
Tomasz Malisiewicz, Alexei A. Efros
IJCNN
2007
IEEE
14 years 3 months ago
Analysis of mammogram using self-organizing neural networks based on spatial isomorphism
— The correct segmentation and measurement of mammography images is of fundamental importance for the development of automatic or computer-aided cancer detection systems. In this...
Aida A. Ferreira, Francisco Nascimento Jr., Ing Re...
ECCV
2008
Springer
14 years 10 months ago
Object Detection from Large-Scale 3D Datasets Using Bottom-Up and Top-Down Descriptors
We propose an approach for detecting objects in large-scale range datasets that combines bottom-up and top-down processes. In the bottom-up stage, fast-to-compute local descriptors...
Alexander Patterson, Philippos Mordohai, Kostas Da...
TCSV
2002
292views more  TCSV 2002»
13 years 8 months ago
Document image segmentation using wavelet scale-space features
In this paper, an efficient and computationally fast method for segmenting text and graphics part of document images based on textural cues is presented. We assume that the graphic...
Mausumi Acharyya, Malay K. Kundu