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» Object Recognition Using Segmentation for Feature Detection
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ECCV
2004
Springer
16 years 8 months ago
Detecting Keypoints with Stable Position, Orientation, and Scale under Illumination Changes
Local feature approaches to vision geometry and object recognition are based on selecting and matching sparse sets of visually salient image points, known as `keypoints' or `p...
Bill Triggs
ICIP
2009
IEEE
15 years 4 months ago
Semantic keyword extraction via adaptive text binarization of unstructured unsourced video
We propose a fully automatic method for summarizing and indexing unstructured presentation videos based on text extracted from the projected slides. We use changes of text in the ...
Michele Merler, John R. Kender
ICIP
2009
IEEE
16 years 7 months ago
Segmentation On Surfaces With The Closest Point Method
We propose a method to detect objects and patterns in textures on general surfaces. Our approach applies the Chan?Vese variational model for active contours without edges to the p...
CVPR
2000
IEEE
16 years 8 months ago
Towards Automatic Discovery of Object Categories
We propose a method to learn heterogeneous models of object classes for visual recognition. The training images contain a preponderance of clutter and learning is unsupervised. Ou...
Markus Weber, Max Welling, Pietro Perona
ACIVS
2008
Springer
16 years 20 days ago
Crowd Behavior Recognition for Video Surveillance
Abstract. Crowd behavior recognition is becoming an important research topic in video surveillance for public places. In this paper, we first discuss the crowd feature selection a...
Shobhit Saxena, François Brémond, Mo...