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» Moving Object Extraction with a Localized Pyramid
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ICPR
2004
IEEE
14 years 8 months ago
Moving Object Extraction with a Localized Pyramid
In this paper, we present a tracking initialization method that combines a rough extraction of moving objects and a refined segmentation of their contours. The extraction of movin...
Jérémy Huart, Guillaume Foret, Pasca...
CVPR
2012
IEEE
11 years 9 months ago
SURFing the point clouds: Selective 3D spatial pyramids for category-level object recognition
This paper proposes a novel approach to recognize object categories in point clouds. By quantizing 3D SURF local descriptors, computed on partial 3D shapes extracted from the poin...
Carolina Redondo-Cabrera, Roberto Javier Ló...
IROS
2006
IEEE
134views Robotics» more  IROS 2006»
14 years 1 months ago
A Novel Self Organizing Network to Perform Fast Moving Object Extraction from Video Streams
— Image segmentation is a critical task in computer vision. In the context of motion detection, a very popular segmentation approach is background substraction which consists in ...
Dizan Vasquez, Thierry Fraichard
SCALESPACE
1999
Springer
13 years 11 months ago
Fast Marching to Moving Object Location
In this paper we address two important problems in motion analysis: the detection of moving objects and their localization. Statistical and level set approaches are adopted in orde...
Eftychios Sifakis, George Tziritas
ICIP
2003
IEEE
14 years 9 months ago
Robust object boundary determination using a locally adaptive level set algorithm
This paper introduces a level set methodology for the precise boundary localization of image objects within an indicated region, designed to be particularly robust against weak or...
Eftychios Sifakis, George Tziritas